CN107544151A - Based on virtual implementing helmet depth of field zone approach and device corresponding to scale - Google Patents
Based on virtual implementing helmet depth of field zone approach and device corresponding to scale Download PDFInfo
- Publication number
- CN107544151A CN107544151A CN201710544210.0A CN201710544210A CN107544151A CN 107544151 A CN107544151 A CN 107544151A CN 201710544210 A CN201710544210 A CN 201710544210A CN 107544151 A CN107544151 A CN 107544151A
- Authority
- CN
- China
- Prior art keywords
- scale
- depth
- observation
- implementing helmet
- virtual implementing
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000013459 approach Methods 0.000 title abstract description 6
- 238000012545 processing Methods 0.000 claims abstract description 34
- 238000012360 testing method Methods 0.000 claims abstract description 17
- 238000000034 method Methods 0.000 claims description 16
- 239000007787 solid Substances 0.000 claims description 16
- 238000005259 measurement Methods 0.000 abstract description 14
- 238000010586 diagram Methods 0.000 description 9
- 238000001514 detection method Methods 0.000 description 8
- 230000000694 effects Effects 0.000 description 4
- 238000009434 installation Methods 0.000 description 4
- 239000003086 colorant Substances 0.000 description 3
- 230000003028 elevating effect Effects 0.000 description 3
- 230000000007 visual effect Effects 0.000 description 3
- 230000007547 defect Effects 0.000 description 2
- 238000003384 imaging method Methods 0.000 description 2
- 239000011159 matrix material Substances 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 238000005457 optimization Methods 0.000 description 2
- 238000002360 preparation method Methods 0.000 description 2
- 238000013519 translation Methods 0.000 description 2
- 241000208340 Araliaceae Species 0.000 description 1
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 description 1
- 235000003140 Panax quinquefolius Nutrition 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 235000013399 edible fruits Nutrition 0.000 description 1
- 235000008434 ginseng Nutrition 0.000 description 1
- 210000003128 head Anatomy 0.000 description 1
- 238000007654 immersion Methods 0.000 description 1
- 238000013507 mapping Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/011—Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
- G06F3/012—Head tracking input arrangements
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M11/00—Testing of optical apparatus; Testing structures by optical methods not otherwise provided for
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M11/00—Testing of optical apparatus; Testing structures by optical methods not otherwise provided for
- G01M11/02—Testing optical properties
- G01M11/0242—Testing optical properties by measuring geometrical properties or aberrations
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M11/00—Testing of optical apparatus; Testing structures by optical methods not otherwise provided for
- G01M11/02—Testing optical properties
- G01M11/0242—Testing optical properties by measuring geometrical properties or aberrations
- G01M11/0257—Testing optical properties by measuring geometrical properties or aberrations by analyzing the image formed by the object to be tested
-
- G—PHYSICS
- G02—OPTICS
- G02B—OPTICAL ELEMENTS, SYSTEMS OR APPARATUS
- G02B27/00—Optical systems or apparatus not provided for by any of the groups G02B1/00 - G02B26/00, G02B30/00
- G02B27/0012—Optical design, e.g. procedures, algorithms, optimisation routines
-
- G—PHYSICS
- G02—OPTICS
- G02B—OPTICAL ELEMENTS, SYSTEMS OR APPARATUS
- G02B27/00—Optical systems or apparatus not provided for by any of the groups G02B1/00 - G02B26/00, G02B30/00
- G02B27/01—Head-up displays
- G02B27/0101—Head-up displays characterised by optical features
-
- G—PHYSICS
- G02—OPTICS
- G02B—OPTICAL ELEMENTS, SYSTEMS OR APPARATUS
- G02B27/00—Optical systems or apparatus not provided for by any of the groups G02B1/00 - G02B26/00, G02B30/00
- G02B27/01—Head-up displays
- G02B27/017—Head mounted
-
- G—PHYSICS
- G02—OPTICS
- G02B—OPTICAL ELEMENTS, SYSTEMS OR APPARATUS
- G02B27/00—Optical systems or apparatus not provided for by any of the groups G02B1/00 - G02B26/00, G02B30/00
- G02B27/01—Head-up displays
- G02B27/017—Head mounted
- G02B27/0172—Head mounted characterised by optical features
-
- G—PHYSICS
- G02—OPTICS
- G02B—OPTICAL ELEMENTS, SYSTEMS OR APPARATUS
- G02B27/00—Optical systems or apparatus not provided for by any of the groups G02B1/00 - G02B26/00, G02B30/00
- G02B27/01—Head-up displays
- G02B27/017—Head mounted
- G02B27/0176—Head mounted characterised by mechanical features
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/011—Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/80—Geometric correction
-
- G—PHYSICS
- G02—OPTICS
- G02B—OPTICAL ELEMENTS, SYSTEMS OR APPARATUS
- G02B27/00—Optical systems or apparatus not provided for by any of the groups G02B1/00 - G02B26/00, G02B30/00
- G02B27/01—Head-up displays
- G02B27/0101—Head-up displays characterised by optical features
- G02B2027/011—Head-up displays characterised by optical features comprising device for correcting geometrical aberrations, distortion
-
- G—PHYSICS
- G02—OPTICS
- G02B—OPTICAL ELEMENTS, SYSTEMS OR APPARATUS
- G02B27/00—Optical systems or apparatus not provided for by any of the groups G02B1/00 - G02B26/00, G02B30/00
- G02B27/01—Head-up displays
- G02B27/0101—Head-up displays characterised by optical features
- G02B2027/0127—Head-up displays characterised by optical features comprising devices increasing the depth of field
-
- G—PHYSICS
- G02—OPTICS
- G02B—OPTICAL ELEMENTS, SYSTEMS OR APPARATUS
- G02B27/00—Optical systems or apparatus not provided for by any of the groups G02B1/00 - G02B26/00, G02B30/00
- G02B27/01—Head-up displays
- G02B27/0101—Head-up displays characterised by optical features
- G02B2027/014—Head-up displays characterised by optical features comprising information/image processing systems
-
- G—PHYSICS
- G02—OPTICS
- G02B—OPTICAL ELEMENTS, SYSTEMS OR APPARATUS
- G02B27/00—Optical systems or apparatus not provided for by any of the groups G02B1/00 - G02B26/00, G02B30/00
- G02B27/01—Head-up displays
- G02B27/0101—Head-up displays characterised by optical features
- G02B2027/0141—Head-up displays characterised by optical features characterised by the informative content of the display
-
- G—PHYSICS
- G02—OPTICS
- G02B—OPTICAL ELEMENTS, SYSTEMS OR APPARATUS
- G02B27/00—Optical systems or apparatus not provided for by any of the groups G02B1/00 - G02B26/00, G02B30/00
- G02B27/01—Head-up displays
- G02B27/0149—Head-up displays characterised by mechanical features
- G02B2027/0161—Head-up displays characterised by mechanical features characterised by the relative positioning of the constitutive elements
- G02B2027/0163—Electric or electronic control thereof
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2203/00—Indexing scheme relating to G06F3/00 - G06F3/048
- G06F2203/01—Indexing scheme relating to G06F3/01
- G06F2203/012—Walk-in-place systems for allowing a user to walk in a virtual environment while constraining him to a given position in the physical environment
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/50—Depth or shape recovery
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Optics & Photonics (AREA)
- Theoretical Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Human Computer Interaction (AREA)
- Geometry (AREA)
- Eye Examination Apparatus (AREA)
- Length Measuring Devices By Optical Means (AREA)
- Eyeglasses (AREA)
Abstract
The present invention provides one kind and is based on virtual implementing helmet depth of field zone approach and device corresponding to scale, including test cell, observation unit, elementary area and processing unit, the test cell includes virtual implementing helmet to be placed, fixed structure, the virtual implementing helmet to be placed includes display screen, the fixed structure includes clamping device and position-limit mechanism, and the clamping device, which can be opened, is put into the virtual implementing helmet.Compared with prior art, the present invention effectively simply solves the problems, such as depth of field measurement using the combination of test cell, observation unit, elementary area and processing unit.By motor driven observation unit along eyepiece track motion, can facilitate from multiple angles from carrying out, to facilitate the setting of multiple points of observation.
Description
Technical field
The present invention relates to field of virtual reality, and virtual implementing helmet corresponding to scale is based on more specifically to one kind
Depth of field zone approach and device.
Background technology
Distortion eyeglass has application in many fields, for example, in virtual reality system, in order to allow user visually
Possess real feeling of immersion, virtual reality device will cover the visual range of human eye as far as possible, therefore just need virtual
Real world devices fill a specific sphere radian eyeglass, but are projected traditional image using Arc lenses in the eye of people
When, image is distortion, and human eye just has no idea to obtain the positioning in Virtual Space, i.e., your periphery is all in virtual reality
It is the image of distortion.This problem is solved it is necessary to first torsigram picture, is generated by specific algorithm corresponding to distortion eyeglass
Fault image, then these fault images by distortion eyeglass project human eye after, normal image will be become, from
And people is allowed to feel real position projection and the covering of big angular field of view.Current lens manufacturer can be according to certain
Distortion parameter makes eyeglass, and these eyeglasses are assembled into virtual implementing helmet by the manufacturer of virtual implementing helmet
On.For the user and software developer of common virtual implementing helmet, due to can not detect eyeglass distortion ginseng
Several instruments, distortion parameter can not be intuitively obtained in addition to asking for distortion parameter to eyeglass manufacturer, largely
It has impact on the exploitation and use of virtual reality software.Simultaneously because distortion parameter can not be obtained, just can not be to virtual implementing helmet
The depth of field show and be configured.
The content of the invention
In order to solve the defects of current virtual real world devices can not optimize the depth of field, the present invention provides one kind and is based on scale pair
The method that the virtual implementing helmet depth of field region answered is set, comprises the following steps:
S1:Processing unit is handled picture to be placed, marks off solid color regions;
S2:Scale setting is carried out to the depth of field corresponding to the boundary point of the solid color regions, draws the side of the solid color regions
The closed figure that display screen display location corresponding to boundary's point and the display screen display location surround;
S3:Identical display content is filled in the closed figure surrounded on the display screen;
S4:After being provided with after all solid color regions, other regions of picture to be placed are installed with source, laser apparatus.
Preferably, the scale sets and comprised the following steps:
S10:The angle position of observation unit, phase is moved to by the observation unit according to corresponding to calculating depth of field relation
The angle position answered;
S20:Display information is observed and identified by the way of two pacing amounts, it is determined that it was observed that figure scale;
S30:The figure scale that the processing unit arrives according to the observation determines the display location of the depth of field to be placed.
Preferably, the two pacings examination comprises the following steps:
S201:Multiple regions are marked off on unilateral display screen, wherein, shown in single region described in multiple identicals
Figure scale, each region show the different figure scales, the figure scale that observation unit arrives according to the observation respectively
Feature determine the position of viewing area;
S202:When it is determined that behind display region, the display screen is according to the region in each the figure scale is shown
Hold the mode that differs to show the region content again.
Preferably, in the multiple regions marked off on unilateral display screen, a pixel is vacated between adjacent region not
Show any color as border.
Preferably, vacate a pixel between the adjacent figure scale and do not show any color, as figure scale
Border.
Preferably, step S40 is further comprised:The observation unit moves to next point for needing to set the depth of field, weight
Multiple above-mentioned steps, complete setting in need the depth of field.
The device that a kind of depth of field is set, including test cell, observation unit, elementary area and processing unit are provided, it is described
Test cell includes virtual implementing helmet to be placed, fixed structure, and the virtual implementing helmet to be placed includes display screen, institute
Stating fixed structure includes clamping device and position-limit mechanism, and the clamping device, which can be opened, is put into the virtual implementing helmet.
Preferably, the clamping device includes torsion spring, and the torsion spring can act on institute after clamping device opening
State clamping device and be allowed to closure with the fixation virtual implementing helmet.
Preferably, the observation unit includes observation eyepiece, eyepiece track and motor, and the observation eyepiece can be in institute
State eyepiece track motion described in the drive lower edge of motor.
Preferably, the observation unit includes movable plate, observation eyepiece, shadow shield, eyepiece track and motor, the sight
Observation of eyes mirror can eyepiece track motion described in the drive lower edge in the motor, the eyepiece track is arranged on the movable plate
On, the movable plate can drive the observation eyepiece, the motor and the eyepiece track to move together.
Preferably, the shadow shield includes loophole.
Compared with prior art, the present invention is marked off solid color regions and its border is configured using processing unit
Method, substantially increase the efficiency of depth of field setting.View directions are calculated using according to depth of field relation, and utilize two pacing amounts
Mode coordinate the observation of observation unit to draw the display location of the depth of field to be placed, there is provided a kind of novel setting depth of field
Method.Two pacings examination can both improve the accuracy of depth of field setting, can improve the efficiency of setting again.Vacate the picture not shown
Element can prevent from obscuring obscuring between figure scale between region as border.Using test cell, observation unit,
The combination of elementary area and processing unit effectively simply solves the problems, such as depth of field optimization.Observed by motor driven single
Member can facilitate from multiple angles from carrying out, to facilitate the setting of multiple points of observation along eyepiece track motion.
Brief description of the drawings
Below in conjunction with drawings and Examples, the invention will be further described, in accompanying drawing:
Fig. 1 is the module diagram of first embodiment of the invention;
Fig. 2 is first embodiment test cell module diagram;
Fig. 3 is first embodiment of the invention schematic diagram;
Fig. 4 is first embodiment of the invention side schematic view;
Fig. 5 is virtual implementing helmet depth of field displaying principle schematic diagram of the present invention;
Fig. 6 is second embodiment of the invention structural representation;
Fig. 7 is second embodiment of the invention shade schematic diagram;
Fig. 8 is the schematic diagram that display screen shows figure scale;
Fig. 9 is third embodiment of the invention picture schematic diagram to be tested;
Figure 10 is third embodiment of the invention measurement solid color regions border schematic diagram.
Embodiment
In order to solve the defects of current virtual real world devices can not optimize the depth of field, the present invention provides one kind and is based on scale pair
The virtual implementing helmet depth of field zone approach and device answered.
In order to which technical characteristic, purpose and the effect of the present invention is more clearly understood, now compares accompanying drawing and describe in detail
The embodiment of the present invention.
Fig. 1-Fig. 2 is referred to, virtual implementing helmet depth of field display device of the present invention includes test cell 1, observation unit
2nd, elementary area 3 and processing unit 4.Wherein, test cell 1 includes trial lens 12 to be measured, fixed structure 14, trial lens to be measured
12 are removably attached on fixed structure 14.Elementary area 3 is electrically connected with observation unit 2, processing unit 4 and image list
Member 3 is electrically connected with.Observation unit 2 is observed test cell 1 by way of shooting image, and observation unit 2 can be shot
The image of test cell 1, and the image transmitting of shooting to elementary area 3 is handled, elementary area 3 can handle observation
The image that unit 2 is shot, and result is transferred to processing unit 4 and handled, processing unit 4 can be according to image list
The data of the transmission of member 3 are handled.
Fig. 3-Fig. 4 shows the first embodiment of the virtual implementing helmet depth of field display device as example, display screen
16 are fixedly installed in fixed structure 14, and eyeglass installation portion 18 is provided with fixed structure 14, and eyeglass installation portion 18 can be used for
Trial lens 12 to be measured is installed.Observation unit 2 includes observation eyepiece 23, eyepiece track 25, eyepiece motor 271, lifting motor 272
With elevating lever 273, observation eyepiece 23 can be under the drive of eyepiece motor 271 along the translation of eyepiece track 25, and can be in mesh
Rotational transform viewing angle under the drive of mirror motor 271.Observation eyepiece 23 is connected with elevating lever 273, and can follow lifting
The lifting of bar 273 1.Elevating lever 273 can be lifted by the control of lifting motor 272 in vertical direction.When in use, eyepiece
Motor 271, lifting motor 272 can be coordinated with translation to be rotated and lifts, and observation eyepiece 23 is reached different observation positions, mould
Intend the light that direction of visual lines observation display screen 16 is launched.
In initial fitting distortion data, fixed structure 14 is removed first, and to be measured show on trial is installed at eyeglass installation portion 18
Piece 12, then fixed structure 14 is arranged on base 21.Eyepiece motor 271 is resetted, eyepiece motor 271 is reached eyepiece rail
The initial position of the one end in road 25.Now, preparation is completed before detection.When processing unit 4 receives the order for starting to detect
Afterwards, eyepiece motor 271 and lifting motor 272 drive observation eyepiece 23 to reach first point of observation, meanwhile, processing unit 4 is ordered
Display screen 16 shows detection information, and first, display screen 16 is in units of column of pixels from the first end of display screen 16 to the second end
Longitudinal light is shown by column, and first end and the second end are relative, can artificially specify as needed, and generally we specify
In terms of from observation unit 2 to the direction of the test cell 1 after fixation, the left end of display screen 16 is first end, and right-hand member is the second end,
When elementary area 3 detects that the display information of display screen 16 reaches the calibration position of observation unit 2 after distortion, image
Unit 3 carries the information to processing unit 4, and processing unit 4 records light in the now position of observation unit 2 and display screen 16
Abscissa positions.Then observation unit 2 moves to next point of observation, the order test cell 1 of processing unit 4 display detection letter
Breath, repeat above-mentioned detection process.Point of observation quantity sets more, and eyeglass lens measurement result is finer, just advantageously in
Data are fitted.After the completion of the detection of all points of observation, processing unit 4 collects all corresponding relations, and according to the correspondence of storage
The distortion function stored in relation fitting data storehouse.After processing unit 4, which is successfully fitted one of them, arrives several distortion functions,
Processing unit 4 records and stores the fitting result;When processing unit 4 can not be according in the corresponding relation fitting data storehouse measured
Distortion function when, processing unit 4 stores corresponding relation in a manner of point function.
Referring to Fig. 5, Fig. 5 shows that the present invention is based on virtual implementing helmet depth of field zone approach corresponding to scale
And installation method principle schematic.As illustrated, when observer forms image in vision, it is necessary to right and left eyes collaboration imaging.
In Figure 5, the transmitting light of display screen 16 arrives separately at right and left eyes by the refraction of optical mirror slip, right and left eyes is visually felt
Image at A be present in feel, and on display screen 16, corresponding luminous point is respectively A1And A2, material is thus formed the effect of the depth of field
Fruit.
Fig. 6-Fig. 7 is referred to, Fig. 6 shows second embodiment of the invention.The second embodiment of the present invention is mainly used in
The display depth of field to virtual implementing helmet optimizes.It is to be placed including virtual implementing helmet 13 to be placed, fixed structure 14
Virtual implementing helmet 13 is removably mounted in fixed structure 14, and fixed structure 14 includes clamping device 142, position-limit mechanism 141
With bottom plate 143, wherein, clamping device 142 includes torsion spring (not shown), and clamping device 142 can be opened, to be placed when being put into
After virtual implementing helmet 13, torsion spring can act on clamping device 142 and be allowed to close, and play fixed virtual reality head to be placed
The effect of helmet 13.Position-limit mechanism 141 can precisely limit the position of virtual implementing helmet 13 to be placed, prevent to be placed virtual
The real position of the helmet 13 is excessively forward or influences optimum results rearward, and position-limit mechanism 141 and clamping device 142 are fixed on bottom plate
On 143.Observation unit 2 includes two groups of facilities for observations, and two groups of facilities for observations enter to fault image corresponding to left eye and right eye respectively
Row observation.Observation unit 2 includes observation eyepiece 23, eyepiece track 25, motor 27 and shade 29, and observation eyepiece 23 can be with
Along the rotational transform viewing angle of eyepiece track 25 under the drive of motor 27.When in use, motor 27 can surround a virtual left side
Point of observation 26 and right point of observation 28 are rotated, and observation eyepiece 23 is reached different observation positions, and simulation direction of visual lines observation is treated
The light for setting virtual implementing helmet 13 to launch.Fig. 7 shows the shade 29 as example, is set on shade 29
The slit 291,291 a diameter of 1mm of slit or so through shade 29 is equipped with, there is certain depth, for ensureing thin light
Line imaging condition, observation eyepiece 23 is accurately observed the light that respective direction transmits, prevent the light in other directions to seeing
Result is examined to have an impact.Shade 29 is removably mounted on observation eyepiece 23.
Fig. 8 shows that display screen 16 shows the schematic diagram of figure scale 161.When a measurement is started, display screen 16 receives
The order of processing unit 4 shows dot matrix in center Screen, and figure scale 161 is shown on dot matrix, and figure scale 161 is different
The combination of color point, figure scale 161 is schematically illustrated in figure.Here, we take figure scale 161 as nine of 3x3
The figure of pixel composition.Each pixel can show three kinds of colors of red, green, blue, by nine pixels show different colors come
Distinguish different figure scales 161.The pixel of composition figure scale 161 is more, and the precision of measurement will be lower, and forms figure
The pixel of shape scale 161 very little, then can lead to not effective district point graphical pixel 161 and largely effect on measurement efficiency.Set 9
The figure scale 161 of individual pixel composition 3x3 checkerings, the efficiency of measurement can be effectively improved while measurement accuracy is ensured.
Physical location on the corresponding display screen 16 of each figure scale 161, when in use, can adjust observation eyepiece 23
Focal length, make observation eyepiece 23 observe through slit 291 transmit image in only exist a figure scale 161, thus may be used
To establish the mapping relations of the position of observation eyepiece 23 and position on display screen 16.
Because the display screen 16 of virtual implementing helmet general point or so display, the pixel of each display screen 16 are total up to 200
The pixel of ten thousand pixels -3,000,000, pixel in 3x3 grid is relied on merely and shows that different colors can only distinguish 19683 figures
Scale 161, it can not directly distinguish a fairly large number of figure scale 161.Here we coordinate 3x3 by the way of two pacing amounts
The image scale 161 of checkering obtains physical location corresponding to figure scale 161.It is first step measurement first, it is aobvious in one side
100 regions are marked off in display screen 16, single region shows that multiple 161,100 regions of identical figure scale are shown respectively
Different figure scales 161.The figure scale feature shown in region as shown in Figure 8 according to from left to right, from top to bottom according to
It is secondary to be:It is red, green, blue, green, red, blue, blue, green, red.In 100 regions, a pixel is vacated between adjacent region and is not shown
Any color as border, meanwhile, a pixel is vacated between adjacent figure scale 161 and does not show any color, as figure
Shape scale border 162, be advantageous to distinguish adjacent figure scale 161.When a measurement is started, observation unit 2 is first according to the observation
To the feature of figure scale 161 determine viewing area positioned at which of 100 regions region.When it is determined that where display
Behind region, second step measurement is carried out, display screen 16 is in the way of each display content of figure scale 161 in the region differs
To show the region content again, observation unit can pass through physics corresponding to the feature determination for the figure scale 161 observed
Position.
The depth of field is shown be configured when, be first turned on clamping device 142, be put into virtual implementing helmet 13 to be placed.
Motor 27 is resetted, motor 27 is reached the initial position of one end of eyepiece track 25.Now, preparation is completed before detection.When
After processing unit 4 receives the order for starting setting up the depth of field, processing unit 4 calculates sight angle corresponding to the depth of field, motor 27
Observation eyepiece 23 is driven to reach the corresponding sight angle that needing, the depth of field is set, meanwhile, the order display screen 16 of processing unit 4 is shown
First step measurement needs the content shown, determines the region that observation eyepiece 23 is observed.Good observation eyepiece 23 to be determined is observed
Region after, the order display screen 16 of processing unit 4 shows that second step measurement needs the content that shows, and identifies the figure observed
Shape scale 161, thereby determine that to should depth of field position display screen 16 display location.Then observation unit 2 moves to next
Individual point of observation, the order test cell 1 of processing unit 4 show detection information, repeat above-mentioned detection process.Until institute's survey in need
Untill the depth of field of amount all obtains measurement.We, which deserve to be called, states method to set up as scale setting.
Referring to Fig. 10, the structure of third embodiment of the invention and second embodiment is essentially identical, difference is,
Before the depth of field is set, processing unit 4 is carried out at image third embodiment of the invention to the image for needing to set the depth of field first
Reason, marks off that the depth of field is identical and display content identical region, and our depth of field are identical and display content identical region is referred to as pure
Color region.The boundary point of solid color regions need to be only set when starting setting up, you can it is corresponding aobvious on display screen 16 to obtain the region
Show position.Illustrate the picture to be placed 300 as example in Figure 10, picture 300 to be placed include the sun 301, sky 302,
Building wall 303, ground 304 and the vehicles 305, the border of the composition sun 301 is a circular boundary 3011.Can be with
It is clear that, the sun 301, sky 302, building wall 303 belong to solid color regions, can utilize and measure its boundary point
And display location is obtained, and ground 304 is not belonging to overall depth of field identical region due to there is a relation to draw near;Hand over
Although logical instrument 305 belongs to depth of field identical region, its display content is incomplete same, is needed for this two parts region
It is separately provided.When carrying out region setting, by taking the sun 301 as an example, the dress of virtual implementing helmet depth of field region setting of the present invention
Put and depth of field setting is carried out to each point on circular boundary 3011, it is corresponding in display screen to obtain each point on circular boundary 3011
Display location on 16, due to the characteristic of optical mirror slip, each point is corresponding aobvious on display screen 16 on circular boundary 3011
Show that position necessarily forms a closed figure, all points show identical content in the closed figure.Thus unlike
Depth of field setting is carried out to each point in the region.
Before depth of field setting is carried out, processing unit 4 carries out image procossing to the image for needing to set the depth of field, marks off
Solid color regions.When starting setting up, the boundary point of solid color regions is configured using the method described in second embodiment, obtained
The display point of display screen 16 corresponding to going out, identical content is shown in the closed figure for showing point and surrounding of display screen 16.Treat
After all solid color regions are provided with, the device that virtual implementing helmet depth of field region of the present invention is set is to being not belonging to pure color area
The display object in domain carries out depth of field setting.
Compared with prior art, the present invention is marked off solid color regions and its border is configured using processing unit 4
Method, substantially increase the efficiency of depth of field setting.View directions are calculated using according to depth of field relation, and utilize two pacing amounts
Mode coordinate the observation of observation unit 2 to draw the display location of the depth of field to be placed, there is provided a kind of novel setting depth of field
Method.Two pacings examination can both improve the accuracy of depth of field setting, can improve the efficiency of setting again.Vacate the picture not shown
Element can prevent from obscuring obscuring between figure scale between region as border.Utilize test cell 1, observation unit
2nd, the combination of elementary area 3 and processing unit 4 effectively simply solves the problems, such as depth of field optimization.Driven by motor 27
Observation unit 2 moves along eyepiece track 25, can facilitate from multiple angles from carrying out, to facilitate setting for multiple points of observation
Put.
Embodiments of the invention are described above in conjunction with accompanying drawing, but the invention is not limited in above-mentioned tool
Body embodiment, above-mentioned embodiment is only schematical, rather than restricted, the ordinary skill of this area
Personnel in the case of present inventive concept and scope of the claimed protection is not departed from, can also make under the enlightenment of the present invention
Many forms, these are belonged within the protection of the present invention.
Claims (10)
- A kind of 1. method set based on virtual implementing helmet depth of field region corresponding to scale, it is characterised in that including following step Suddenly:S1:Processing unit is handled picture to be placed, marks off solid color regions;S2:Scale setting is carried out to the depth of field corresponding to the boundary point of the solid color regions, draws the boundary point of the solid color regions The closed figure that corresponding display screen display location and the display screen display location surround;S3:Identical display content is filled in the closed figure surrounded on the display screen;S4:After being provided with after all solid color regions, other regions of picture to be placed are installed with source, laser apparatus.
- 2. the method according to claim 1 set based on virtual implementing helmet depth of field region corresponding to scale, its feature It is, the scale, which is set, to be comprised the following steps:S10:The angle position of observation unit, corresponding angle is moved to by the observation unit according to corresponding to calculating depth of field relation Spend position;S20:Display information is observed and identified by the way of two pacing amounts, it is determined that it was observed that figure scale;S30:The figure scale that the processing unit arrives according to the observation determines the display location of the depth of field to be placed.
- 3. the method according to claim 2 set based on virtual implementing helmet depth of field region corresponding to scale, its feature It is, the two pacings examination comprises the following steps:S201:Multiple regions are marked off on unilateral display screen, wherein, show that figure is carved described in multiple identicals in single region Degree, each region shows the different figure scales, the feature for the figure scale that observation unit arrives according to the observation respectively Determine the position of viewing area;S202:When it is determined that behind display region, each the figure scale display content is not according to the region for the display screen Identical mode shows the region content again.
- 4. the method according to claim 3 set based on virtual implementing helmet depth of field region corresponding to scale, its feature It is, vacating a pixel between the adjacent figure scale does not show any color, as figure scale border.
- 5. the method according to claim 2 set based on virtual implementing helmet depth of field region corresponding to scale, its feature It is, further comprises step S40:The observation unit moves to next point for needing to set the depth of field, repeats the above steps, Complete setting in need the depth of field.
- 6. it is a kind of using method described in claim 1 set the depth of field based on virtual implementing helmet depth of field region corresponding to scale The device of setting, it is characterised in that including test cell, observation unit, elementary area and processing unit, the test cell bag Virtual implementing helmet to be placed, fixed structure are included, the virtual implementing helmet to be placed includes display screen, the fixed structure bag Clamping device and position-limit mechanism are included, the clamping device, which can be opened, is put into the virtual implementing helmet.
- 7. the device according to claim 6 set based on virtual implementing helmet depth of field region corresponding to scale, its feature It is, the clamping device includes torsion spring, and the torsion spring can act on the clamping device after clamping device opening Closure is allowed to the fixation virtual implementing helmet.
- 8. the device according to claim 6 set based on virtual implementing helmet depth of field region corresponding to scale, its feature It is, the observation unit includes observation eyepiece, eyepiece track and motor, and the observation eyepiece can be in the drive of the motor Eyepiece track motion described in lower edge.
- 9. the device according to claim 7 set based on virtual implementing helmet depth of field region corresponding to scale, its feature It is, the observation unit includes movable plate, observation eyepiece, shadow shield, eyepiece track and motor, and the observation eyepiece can be Eyepiece track motion described in the drive lower edge of the motor, the eyepiece track are arranged on the movable plate, the movable plate The observation eyepiece, the motor and the eyepiece track can be driven to move together.
- 10. the device according to claim 9 set based on virtual implementing helmet depth of field region corresponding to scale, its feature It is, the shadow shield includes loophole.
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN2016213083149 | 2016-11-30 | ||
CN201621308314 | 2016-11-30 |
Publications (1)
Publication Number | Publication Date |
---|---|
CN107544151A true CN107544151A (en) | 2018-01-05 |
Family
ID=60100336
Family Applications (35)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201710543865.6A Pending CN107702894A (en) | 2016-11-30 | 2017-07-05 | The method and device of virtual reality eyeglass dispersion detection |
CN201710544198.3A Pending CN107544149A (en) | 2016-11-30 | 2017-07-05 | Region depth of field method to set up and device based on image scale |
CN201710544197.9A Pending CN107505708A (en) | 2016-11-30 | 2017-07-05 | Virtual implementing helmet depth of field method to set up and device based on image scale |
CN201710544195.XA Pending CN107329266A (en) | 2016-11-30 | 2017-07-05 | The method and device that virtual implementing helmet depth of field region is set |
CN201710544211.5A Pending CN107300775A (en) | 2016-11-30 | 2017-07-05 | The depth of field based on image scale sets the method and device of optimization |
CN201710543941.3A Pending CN107390364A (en) | 2016-11-30 | 2017-07-05 | The method and device that virtual implementing helmet depth of field laser is set |
CN201710543937.7A Pending CN107490861A (en) | 2016-11-30 | 2017-07-05 | The method and device of virtual implementing helmet depth of field optimization display |
CN201710543924.XA Pending CN107357037A (en) | 2016-11-30 | 2017-07-05 | The method and device of virtual implementing helmet laser assisted depth of field optimization |
CN201710543920.1A Pending CN108121068A (en) | 2016-11-30 | 2017-07-05 | Virtual implementing helmet depth of field laser sets the method and device of optimization display |
CN201710543918.4A Pending CN107687936A (en) | 2016-11-30 | 2017-07-05 | The method and device detected based on virtual implementing helmet dispersion corresponding to scale |
CN201710544189.4A Withdrawn CN107357039A (en) | 2016-11-30 | 2017-07-05 | Virtual reality eyeglass distortion checking and the method and device of adjustment |
CN201710544192.6A Pending CN107544148A (en) | 2016-11-30 | 2017-07-05 | The method and device that virtual implementing helmet depth of field laser based on image scale is set |
CN201710544212.XA Pending CN107300776A (en) | 2016-11-30 | 2017-07-05 | Interpupillary distance depth of field method to set up and device based on image scale |
CN201710543923.5A Pending CN107688387A (en) | 2016-11-30 | 2017-07-05 | The method and device of virtual implementing helmet dispersion detection |
CN201710544200.7A Pending CN107479188A (en) | 2016-11-30 | 2017-07-05 | The method and device of virtual implementing helmet depth of field optimization |
CN201710543919.9A Pending CN107422479A (en) | 2016-11-30 | 2017-07-05 | Based on virtual implementing helmet depth of field method to set up and device corresponding to scale |
CN201710543936.2A Pending CN107462991A (en) | 2016-11-30 | 2017-07-05 | The method and device that the virtual implementing helmet depth of field is set |
CN201710543939.6A Pending CN107526167A (en) | 2016-11-30 | 2017-07-05 | The method and device optimized based on depth of field laser corresponding to scale |
CN201710544202.6A Pending CN107402448A (en) | 2016-11-30 | 2017-07-05 | The method and device that virtual implementing helmet interpupillary distance is set with depth of field laser |
CN201710544203.0A Pending CN107340595A (en) | 2016-11-30 | 2017-07-05 | The method and device set based on virtual implementing helmet depth of field region laser corresponding to scale |
CN201710544194.5A Pending CN107329265A (en) | 2016-11-30 | 2017-07-05 | The method and device that virtual implementing helmet interpupillary distance optimizes with depth of field laser |
CN201710544210.0A Pending CN107544151A (en) | 2016-11-30 | 2017-07-05 | Based on virtual implementing helmet depth of field zone approach and device corresponding to scale |
CN201710543938.1A Pending CN107357038A (en) | 2016-11-30 | 2017-07-05 | Virtual implementing helmet interpupillary distance and the method and device of depth of field adjustment |
CN201710543942.8A Pending CN107329264A (en) | 2016-11-30 | 2017-07-05 | The method and device that virtual implementing helmet interpupillary distance is set with the depth of field |
CN201710544204.5A Withdrawn CN107464221A (en) | 2016-11-30 | 2017-07-05 | Based on the method and device of virtual reality eyeglass distortion checking and adjustment corresponding to scale |
CN201710543925.4A Pending CN107329263A (en) | 2016-11-30 | 2017-07-05 | The method and device that the virtual implementing helmet depth of field is shown |
CN201710544201.1A Pending CN107291246A (en) | 2016-11-30 | 2017-07-05 | The method and device of virtual implementing helmet depth of field measurement based on image scale |
CN201710544196.4A Pending CN107315251A (en) | 2016-11-30 | 2017-07-05 | Based on the corresponding virtual implementing helmet interpupillary distance of scale and depth of field method to set up and device |
CN201710543921.6A Pending CN107300774A (en) | 2016-11-30 | 2017-07-05 | Method and device based on the corresponding virtual implementing helmet distortion checking of scale and adjustment |
CN201710543922.0A Pending CN107462400A (en) | 2016-11-30 | 2017-07-05 | The method and device detected based on virtual reality eyeglass dispersion corresponding to scale |
CN201710543944.7A Pending CN107544147A (en) | 2016-11-30 | 2017-07-05 | The method and device that depth of field laser based on image scale is set |
CN201710544208.3A Pending CN107290854A (en) | 2016-11-30 | 2017-07-05 | Virtual implementing helmet interpupillary distance optimizes the method and device of display with the depth of field |
CN201710544199.8A Pending CN107544150A (en) | 2016-11-30 | 2017-07-05 | The method and device set based on virtual implementing helmet depth of field laser corresponding to scale |
CN201710544213.4A Withdrawn CN107478412A (en) | 2016-11-30 | 2017-07-05 | Virtual implementing helmet distortion checking and the method and device of adjustment |
CN201710544205.XA Pending CN107315252A (en) | 2016-11-30 | 2017-07-05 | The method and device that virtual implementing helmet depth of field region laser is set |
Family Applications Before (21)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201710543865.6A Pending CN107702894A (en) | 2016-11-30 | 2017-07-05 | The method and device of virtual reality eyeglass dispersion detection |
CN201710544198.3A Pending CN107544149A (en) | 2016-11-30 | 2017-07-05 | Region depth of field method to set up and device based on image scale |
CN201710544197.9A Pending CN107505708A (en) | 2016-11-30 | 2017-07-05 | Virtual implementing helmet depth of field method to set up and device based on image scale |
CN201710544195.XA Pending CN107329266A (en) | 2016-11-30 | 2017-07-05 | The method and device that virtual implementing helmet depth of field region is set |
CN201710544211.5A Pending CN107300775A (en) | 2016-11-30 | 2017-07-05 | The depth of field based on image scale sets the method and device of optimization |
CN201710543941.3A Pending CN107390364A (en) | 2016-11-30 | 2017-07-05 | The method and device that virtual implementing helmet depth of field laser is set |
CN201710543937.7A Pending CN107490861A (en) | 2016-11-30 | 2017-07-05 | The method and device of virtual implementing helmet depth of field optimization display |
CN201710543924.XA Pending CN107357037A (en) | 2016-11-30 | 2017-07-05 | The method and device of virtual implementing helmet laser assisted depth of field optimization |
CN201710543920.1A Pending CN108121068A (en) | 2016-11-30 | 2017-07-05 | Virtual implementing helmet depth of field laser sets the method and device of optimization display |
CN201710543918.4A Pending CN107687936A (en) | 2016-11-30 | 2017-07-05 | The method and device detected based on virtual implementing helmet dispersion corresponding to scale |
CN201710544189.4A Withdrawn CN107357039A (en) | 2016-11-30 | 2017-07-05 | Virtual reality eyeglass distortion checking and the method and device of adjustment |
CN201710544192.6A Pending CN107544148A (en) | 2016-11-30 | 2017-07-05 | The method and device that virtual implementing helmet depth of field laser based on image scale is set |
CN201710544212.XA Pending CN107300776A (en) | 2016-11-30 | 2017-07-05 | Interpupillary distance depth of field method to set up and device based on image scale |
CN201710543923.5A Pending CN107688387A (en) | 2016-11-30 | 2017-07-05 | The method and device of virtual implementing helmet dispersion detection |
CN201710544200.7A Pending CN107479188A (en) | 2016-11-30 | 2017-07-05 | The method and device of virtual implementing helmet depth of field optimization |
CN201710543919.9A Pending CN107422479A (en) | 2016-11-30 | 2017-07-05 | Based on virtual implementing helmet depth of field method to set up and device corresponding to scale |
CN201710543936.2A Pending CN107462991A (en) | 2016-11-30 | 2017-07-05 | The method and device that the virtual implementing helmet depth of field is set |
CN201710543939.6A Pending CN107526167A (en) | 2016-11-30 | 2017-07-05 | The method and device optimized based on depth of field laser corresponding to scale |
CN201710544202.6A Pending CN107402448A (en) | 2016-11-30 | 2017-07-05 | The method and device that virtual implementing helmet interpupillary distance is set with depth of field laser |
CN201710544203.0A Pending CN107340595A (en) | 2016-11-30 | 2017-07-05 | The method and device set based on virtual implementing helmet depth of field region laser corresponding to scale |
CN201710544194.5A Pending CN107329265A (en) | 2016-11-30 | 2017-07-05 | The method and device that virtual implementing helmet interpupillary distance optimizes with depth of field laser |
Family Applications After (13)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201710543938.1A Pending CN107357038A (en) | 2016-11-30 | 2017-07-05 | Virtual implementing helmet interpupillary distance and the method and device of depth of field adjustment |
CN201710543942.8A Pending CN107329264A (en) | 2016-11-30 | 2017-07-05 | The method and device that virtual implementing helmet interpupillary distance is set with the depth of field |
CN201710544204.5A Withdrawn CN107464221A (en) | 2016-11-30 | 2017-07-05 | Based on the method and device of virtual reality eyeglass distortion checking and adjustment corresponding to scale |
CN201710543925.4A Pending CN107329263A (en) | 2016-11-30 | 2017-07-05 | The method and device that the virtual implementing helmet depth of field is shown |
CN201710544201.1A Pending CN107291246A (en) | 2016-11-30 | 2017-07-05 | The method and device of virtual implementing helmet depth of field measurement based on image scale |
CN201710544196.4A Pending CN107315251A (en) | 2016-11-30 | 2017-07-05 | Based on the corresponding virtual implementing helmet interpupillary distance of scale and depth of field method to set up and device |
CN201710543921.6A Pending CN107300774A (en) | 2016-11-30 | 2017-07-05 | Method and device based on the corresponding virtual implementing helmet distortion checking of scale and adjustment |
CN201710543922.0A Pending CN107462400A (en) | 2016-11-30 | 2017-07-05 | The method and device detected based on virtual reality eyeglass dispersion corresponding to scale |
CN201710543944.7A Pending CN107544147A (en) | 2016-11-30 | 2017-07-05 | The method and device that depth of field laser based on image scale is set |
CN201710544208.3A Pending CN107290854A (en) | 2016-11-30 | 2017-07-05 | Virtual implementing helmet interpupillary distance optimizes the method and device of display with the depth of field |
CN201710544199.8A Pending CN107544150A (en) | 2016-11-30 | 2017-07-05 | The method and device set based on virtual implementing helmet depth of field laser corresponding to scale |
CN201710544213.4A Withdrawn CN107478412A (en) | 2016-11-30 | 2017-07-05 | Virtual implementing helmet distortion checking and the method and device of adjustment |
CN201710544205.XA Pending CN107315252A (en) | 2016-11-30 | 2017-07-05 | The method and device that virtual implementing helmet depth of field region laser is set |
Country Status (1)
Country | Link |
---|---|
CN (35) | CN107702894A (en) |
Families Citing this family (16)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108008535A (en) * | 2017-11-17 | 2018-05-08 | 国网山东省电力公司 | A kind of augmented reality equipment |
CN107977076B (en) * | 2017-11-17 | 2018-11-27 | 国网山东省电力公司泰安供电公司 | A kind of wearable virtual reality device |
CN107942517B (en) * | 2018-01-02 | 2020-03-06 | 京东方科技集团股份有限公司 | VR head-mounted display device and display method thereof |
CN108303798B (en) * | 2018-01-15 | 2020-10-09 | 海信视像科技股份有限公司 | Virtual reality helmet, virtual reality helmet interpupillary distance adjusting method and device |
CN108426702B (en) * | 2018-01-19 | 2020-06-02 | 华勤通讯技术有限公司 | Dispersion measurement device and method of augmented reality equipment |
CN108399606B (en) * | 2018-02-02 | 2020-06-26 | 北京奇艺世纪科技有限公司 | Image adjusting method and device |
CN108510549B (en) * | 2018-03-27 | 2022-01-04 | 京东方科技集团股份有限公司 | Distortion parameter measuring method, device and system of virtual reality equipment |
CN109186957B (en) * | 2018-09-17 | 2024-05-10 | 浙江晶正光电科技有限公司 | High-precision automatic detection equipment for diffusion angle of laser diffusion sheet |
CN109557669B (en) * | 2018-11-26 | 2021-10-12 | 歌尔光学科技有限公司 | Method for determining image drift amount of head-mounted display equipment and head-mounted display equipment |
US11513346B2 (en) * | 2019-05-24 | 2022-11-29 | Beijing Boe Optoelectronics Technology Co., Ltd. | Method and apparatus for controlling virtual reality display device |
CN110320009A (en) * | 2019-06-25 | 2019-10-11 | 歌尔股份有限公司 | Optical property detection method and detection device |
CN113822104B (en) * | 2020-07-07 | 2023-11-03 | 湖北亿立能科技股份有限公司 | Artificial intelligence surface of water detecting system based on virtual scale of many candidates |
CN113768240A (en) * | 2021-08-30 | 2021-12-10 | 航宇救生装备有限公司 | Method for adjusting imaging position of display protection helmet |
CN114089508B (en) * | 2022-01-19 | 2022-05-03 | 茂莱(南京)仪器有限公司 | Wide-angle projection lens for detecting optical waveguide AR lens |
DE102022207774A1 (en) | 2022-07-28 | 2024-02-08 | Robert Bosch Gesellschaft mit beschränkter Haftung | Method for an automated calibration of a virtual retinal display for data glasses, calibration device and virtual retinal display |
CN117214025B (en) * | 2023-11-08 | 2024-01-12 | 广东德鑫体育产业有限公司 | Helmet lens detection device |
Family Cites Families (16)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5619373A (en) * | 1995-06-07 | 1997-04-08 | Hasbro, Inc. | Optical system for a head mounted display |
CN102967473B (en) * | 2012-11-30 | 2015-04-29 | 奇瑞汽车股份有限公司 | Driver front-view measuring device |
US10228562B2 (en) * | 2014-02-21 | 2019-03-12 | Sony Interactive Entertainment Inc. | Realtime lens aberration correction from eye tracking |
EP3200148B1 (en) * | 2014-10-31 | 2019-08-28 | Huawei Technologies Co., Ltd. | Image processing method and device |
CN104808342B (en) * | 2015-04-30 | 2017-12-12 | 杭州映墨科技有限公司 | The optical lens structure of the wearable virtual implementing helmet of three-dimensional scenic is presented |
US10271042B2 (en) * | 2015-05-29 | 2019-04-23 | Seeing Machines Limited | Calibration of a head mounted eye tracking system |
CN105979243A (en) * | 2015-12-01 | 2016-09-28 | 乐视致新电子科技(天津)有限公司 | Processing method and device for displaying stereo images |
CN105979252A (en) * | 2015-12-03 | 2016-09-28 | 乐视致新电子科技(天津)有限公司 | Test method and device |
CN105867606A (en) * | 2015-12-15 | 2016-08-17 | 乐视致新电子科技(天津)有限公司 | Image acquisition method and apparatus in virtual reality helmet, and virtual reality helmet |
CN105869142A (en) * | 2015-12-21 | 2016-08-17 | 乐视致新电子科技(天津)有限公司 | Method and device for testing imaging distortion of virtual reality helmets |
CN105787980B (en) * | 2016-03-17 | 2018-12-25 | 北京牡丹视源电子有限责任公司 | A kind of detection virtual reality shows the method and system of equipment field angle |
CN106028013A (en) * | 2016-04-28 | 2016-10-12 | 努比亚技术有限公司 | Wearable device, display device, and display output adjusting method |
CN105791789B (en) * | 2016-04-28 | 2019-03-19 | 努比亚技术有限公司 | The method of helmet, display equipment and adjust automatically display output |
CN106441212B (en) * | 2016-09-18 | 2020-07-28 | 京东方科技集团股份有限公司 | Device and method for detecting field angle of optical instrument |
CN106527733A (en) * | 2016-11-30 | 2017-03-22 | 深圳市虚拟现实技术有限公司 | Virtual-reality helmet distortion fitting-detecting method and device |
CN106651954A (en) * | 2016-12-27 | 2017-05-10 | 天津科技大学 | Laser simulation method and device for space sight line benchmark |
-
2017
- 2017-07-05 CN CN201710543865.6A patent/CN107702894A/en active Pending
- 2017-07-05 CN CN201710544198.3A patent/CN107544149A/en active Pending
- 2017-07-05 CN CN201710544197.9A patent/CN107505708A/en active Pending
- 2017-07-05 CN CN201710544195.XA patent/CN107329266A/en active Pending
- 2017-07-05 CN CN201710544211.5A patent/CN107300775A/en active Pending
- 2017-07-05 CN CN201710543941.3A patent/CN107390364A/en active Pending
- 2017-07-05 CN CN201710543937.7A patent/CN107490861A/en active Pending
- 2017-07-05 CN CN201710543924.XA patent/CN107357037A/en active Pending
- 2017-07-05 CN CN201710543920.1A patent/CN108121068A/en active Pending
- 2017-07-05 CN CN201710543918.4A patent/CN107687936A/en active Pending
- 2017-07-05 CN CN201710544189.4A patent/CN107357039A/en not_active Withdrawn
- 2017-07-05 CN CN201710544192.6A patent/CN107544148A/en active Pending
- 2017-07-05 CN CN201710544212.XA patent/CN107300776A/en active Pending
- 2017-07-05 CN CN201710543923.5A patent/CN107688387A/en active Pending
- 2017-07-05 CN CN201710544200.7A patent/CN107479188A/en active Pending
- 2017-07-05 CN CN201710543919.9A patent/CN107422479A/en active Pending
- 2017-07-05 CN CN201710543936.2A patent/CN107462991A/en active Pending
- 2017-07-05 CN CN201710543939.6A patent/CN107526167A/en active Pending
- 2017-07-05 CN CN201710544202.6A patent/CN107402448A/en active Pending
- 2017-07-05 CN CN201710544203.0A patent/CN107340595A/en active Pending
- 2017-07-05 CN CN201710544194.5A patent/CN107329265A/en active Pending
- 2017-07-05 CN CN201710544210.0A patent/CN107544151A/en active Pending
- 2017-07-05 CN CN201710543938.1A patent/CN107357038A/en active Pending
- 2017-07-05 CN CN201710543942.8A patent/CN107329264A/en active Pending
- 2017-07-05 CN CN201710544204.5A patent/CN107464221A/en not_active Withdrawn
- 2017-07-05 CN CN201710543925.4A patent/CN107329263A/en active Pending
- 2017-07-05 CN CN201710544201.1A patent/CN107291246A/en active Pending
- 2017-07-05 CN CN201710544196.4A patent/CN107315251A/en active Pending
- 2017-07-05 CN CN201710543921.6A patent/CN107300774A/en active Pending
- 2017-07-05 CN CN201710543922.0A patent/CN107462400A/en active Pending
- 2017-07-05 CN CN201710543944.7A patent/CN107544147A/en active Pending
- 2017-07-05 CN CN201710544208.3A patent/CN107290854A/en active Pending
- 2017-07-05 CN CN201710544199.8A patent/CN107544150A/en active Pending
- 2017-07-05 CN CN201710544213.4A patent/CN107478412A/en not_active Withdrawn
- 2017-07-05 CN CN201710544205.XA patent/CN107315252A/en active Pending
Non-Patent Citations (3)
Title |
---|
叶玉堂 等: "《光学教程》", 31 August 2005 * |
吴启海: "《数码照相机可换镜头使用完全手册》", 31 January 2015 * |
高鸿锦 等: "《新型显示技术 下》", 31 August 2014 * |
Also Published As
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN107544151A (en) | Based on virtual implementing helmet depth of field zone approach and device corresponding to scale | |
Rolland et al. | Towards quantifying depth and size perception in virtual environments | |
CN105764405B (en) | Based on the not positive system and method for subjective distance measuring measurement ophthalmic refractive | |
CN103605208B (en) | content projection system and method | |
CN106605172B (en) | Display device, the method for driving display device and electronic equipment | |
CN110967166A (en) | Detection method, detection device and detection system of near-eye display optical system | |
CN106264441A (en) | A kind of novel myopia degree tester and application process | |
CN108024704B (en) | For measuring the method and system of the subjective refraction characteristic of eyes | |
CN106441822A (en) | Virtual reality headset distortion detection method and device | |
CN106644403A (en) | Lens distortion detection method and apparatus | |
CN106644404A (en) | Virtual reality helmet distortion complete machine detection method and device | |
CN106527733A (en) | Virtual-reality helmet distortion fitting-detecting method and device | |
CN106768878A (en) | Optical mirror slip distortion fitting and the method and device for detecting | |
CN106073695A (en) | A kind of Novel astigmatic number of degrees tester and application process | |
CN206378270U (en) | The device of virtual implementing helmet distortion complete machine detection |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20180105 |
|
WD01 | Invention patent application deemed withdrawn after publication |