CN109886278A - A kind of characteristics of image acquisition method based on ARMarker - Google Patents
A kind of characteristics of image acquisition method based on ARMarker Download PDFInfo
- Publication number
- CN109886278A CN109886278A CN201910043348.1A CN201910043348A CN109886278A CN 109886278 A CN109886278 A CN 109886278A CN 201910043348 A CN201910043348 A CN 201910043348A CN 109886278 A CN109886278 A CN 109886278A
- Authority
- CN
- China
- Prior art keywords
- armarker
- image
- size
- acquisition
- coordinate
- 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
- 238000000034 method Methods 0.000 title claims abstract description 12
- 238000010606 normalization Methods 0.000 claims description 3
- 238000013316 zoning Methods 0.000 claims description 3
- 230000003190 augmentative effect Effects 0.000 description 2
- 230000008901 benefit Effects 0.000 description 2
- 238000003745 diagnosis Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000000338 in vitro Methods 0.000 description 1
Landscapes
- Image Analysis (AREA)
- Studio Devices (AREA)
Abstract
The present invention provides a kind of characteristics of image acquisition method based on ARMarker, include the following steps: the ARMarker for placing specific physics size in the scene, records the physics size Ds in all regions (S1, S2 ... Sn) for wanting acquisition characteristics and the distance R relative to ARMarker;Image Acquisition is carried out using image collecting device, guarantees that the image being collected includes ARMarker, all wants acquisition characteristics region (S1, S2 ... Sn);ARMarker in identification acquisition image, obtains the coordinate (Xi, Yi) of four angle points A1, A2, A3, A4 in ARMarker image;Use the coordinate (Xi of upper described four angle points A1, A2, A3, A4, Yi), the physics size of ARMarker, the physics size Ds in all regions for wanting acquisition characteristics, the physical distance R relative to ARMarker, all pickup area S1, S2 is wanted calculate ... the image coordinate (Xsi, Ysi) and size of Sn.The present invention can accurately position the area data to be acquired, no matter how the angle of shooting, light, background colour change, can accurately obtain the condition code of pickup area.
Description
Technical field
The present invention relates to that the present invention relates to in-vitro diagnosis fields, more particularly to the image data based on ARMarker is adopted
Set method.
Background technique
ARMarker is all the fashion in recent years for image/video or the mark of positioning in augmented reality, generally by black
White dichromatism is constituted, and any rotation does not repeat mutually with original image, and a small amount of content information of codified.
In many application scenarios, the characteristics of image of some specific position in scene is acquired after needing to take pictures to scene, is led to
Often we can fix the position of image collecting device, angle, while after controlling background, environment light etc. factor, carry out image
Acquisition makes the characteristics of image to be acquired always occur from some fixation position of image.
Since this method needs fixed image collecting device, if to be acquired for the identical scene of multiple contents
And when comparing, needs to expend huge manpower and material resources and come to image collecting device in the identical scene of the multiple contents of guarantee
Position is identical, both uneconomical or not flexible.
Summary of the invention
In order to solve the problems in the existing technology, present invention thus provides a kind of, and the image based on ARMarker is special
Acquisition method is levied, is included the following steps:
A kind of characteristics of image acquisition method based on ARMarker, includes the following steps:
The ARMarker for placing specific physics size in the scene records all region (S1, S2 ... for wanting acquisition characteristics
Sn physics size Ds) and the distance R relative to ARMarker;
Image Acquisition is carried out to scene using image collecting device, guarantees that the image being collected includes ARMarker, owns
Want acquisition characteristics region (S1, S2 ... Sn);
ARMarker in identification acquisition image, obtains the coordinate of four angle points A1, A2, A3, A4 in ARMarker image
(Xi, Yi);
Use the coordinate (Xi, Yi) of upper described four angle points A1, A2, A3, A4, the physics size of ARMarker, Suo Youyao
Physics size Ds, the physical distance R relative to ARMarker in the region of acquisition characteristics, calculate it is all want pickup area S1,
The image coordinate (Xsi, Ysi) and size under the same coordinate system of S2 ... Sn.
It is further comprising the steps of:
The correspondence image region of S2 ... Sn that cuts out S1 according to described image coordinate (Xsi, Ysi) and size ..., to region
Size and direction of rotation are normalized,
The RGB color histogram of image after zoning S1 ... S2 ... Sn normalization, the feature as the region
The invention has the benefit that the present invention is using ARMarker as identification code, it can be to the region for asking for acquisition
Data are accurately positioned, no matter how the angle of shooting, light, background colour change, can accurately obtain pickup area
Condition code.
Detailed description of the invention
When considered in conjunction with the accompanying drawings, can be good at understanding that structure of the invention, principle, work are special with reference to following description
Point and advantage, but attached drawing described herein as is used to that of the invention is explained further, and accompanying schematic figure is intended merely to preferably right
The present invention is illustrated, and does not constitute improper restriction to the present invention, in which:
Fig. 1 is the schematic diagram of the characteristics of image acquisition method of the invention based on ARMarker.
Specific embodiment
Below with reference to example and attached drawing, the invention will be further described, it is noted that following embodiment is only
Be it is schematical, be not intended to limitation the present invention.
Referring to Fig. 1 the present invention is based on the characteristics of image acquisition method of ARMarker comprising the following steps:
S1. the ARMarker 1 of specific physics size is placed in the scene, and ARMarker is all the fashion in recent years is used for
Image/video or the mark of positioning, are generally made of black-and-white two color in augmented reality, any rotation with original image not phase
It repeats, and a small amount of content information of codified.
And write down the physics size Ds in all regions (S1, S2 ... Sn) for wanting acquisition characteristics and relative to ARMarker's
Distance R.
S2. using image collecting device to scene carry out Image Acquisition, guarantee the image being collected include ARMarker and
It is all to want acquisition characteristics region (S1, S2 ... Sn).Without to image collecting device position and angle be fixed.
S3. by taking any one picture being collected as an example, remember image in ARMarker four angle points be A1, A2, A3,
A4, remember image in it is all want pickup area be S1, S2 ... Sn.
S4. the ARMarker in identification acquisition image, obtains the coordinate (Xi, Yi) of A1, A2, A3, A4 in image.This four
The coordinate (Xi, Yi) of a angle point can carry out calculating acquisition by establishing virtual coordinate system in virtual coordinate system.
S5. using being write down in the coordinate (Xi, Yi) and the first step of previous step calculated A1, A2, A3, A4
The size of ARMarker, the physics size Ds in all regions for wanting acquisition characteristics, the physical distance R relative to ARMarker, meter
All pickup area S1, S2 is wanted calculate ... image coordinate (Xsi, Ysi) and size of the Sn under the virtual coordinate system.
S6. image coordinate (Xsi, Ysi) and size under the virtual coordinate system calculated according to previous step cut out S1 ...
The correspondence image region of S2 ... Sn, is normalized area size and direction of rotation.
The RGB color histogram of image after the zoning S7 S1 ... S2 ... Sn normalization, the feature as the region.
Save the result calculated.Thus can based on ARMarker obtain institute's pickup area color characteristic without
Consider that angle, light for taking pictures etc. influence.
Although having been combined embodiment to be described in detail the present invention, it should be understood by those skilled in the art that
Ground is that the present invention is not limited only to specific embodiment, on the contrary, becoming in the various amendments without departing from the application spirit and essence
Shape and replacement are all fallen among the protection scope of the application.
Claims (2)
1. a kind of characteristics of image acquisition method based on ARMarker, it is characterised in that include the following steps:
The ARMarker for placing specific physics size in the scene records all regions (S1, S2 ... Sn) for wanting acquisition characteristics
Physics size Ds and distance R relative to ARMarker;
Image Acquisition is carried out to scene using image collecting device, guarantees that the image being collected includes ARMarker, all to adopt
Collect characteristic area (S1, S2 ... Sn);
Identification acquisition image in ARMarker, obtain four angle points A1, A2, A3, A4 in ARMarker image coordinate (Xi,
Yi);
Using the coordinate (Xi, Yi) of upper described four angle points A1, A2, A3, A4, the physics size of ARMarker all will be acquired
Physics size Ds, the physical distance R relative to ARMarker in the region of feature are calculated and all are wanted pickup area S1, S2 ...
The image coordinate (Xsi, Ysi) and size under the same coordinate system of Sn.
2. the characteristics of image acquisition method according to claim 1 based on ARMarker, it is characterised in that further include following
Step:
The correspondence image region of S2 ... Sn that cuts out S1 according to described image coordinate (Xsi, Ysi) and size ..., to area size
It is normalized with direction of rotation,
The RGB color histogram of image after zoning S1 ... S2 ... Sn normalization, the feature as the region.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910043348.1A CN109886278A (en) | 2019-01-17 | 2019-01-17 | A kind of characteristics of image acquisition method based on ARMarker |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910043348.1A CN109886278A (en) | 2019-01-17 | 2019-01-17 | A kind of characteristics of image acquisition method based on ARMarker |
Publications (1)
Publication Number | Publication Date |
---|---|
CN109886278A true CN109886278A (en) | 2019-06-14 |
Family
ID=66926082
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201910043348.1A Pending CN109886278A (en) | 2019-01-17 | 2019-01-17 | A kind of characteristics of image acquisition method based on ARMarker |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN109886278A (en) |
Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102129679A (en) * | 2010-12-02 | 2011-07-20 | 湖南农业大学 | Local positioning system and method |
CN105729468A (en) * | 2016-01-27 | 2016-07-06 | 浙江大学 | Enhanced robot workbench based on multiple depth cameras |
CN107123188A (en) * | 2016-12-20 | 2017-09-01 | 北京联合众为科技发展有限公司 | Ticket of hindering based on template matching algorithm and edge feature is recognized and localization method |
CN107766855A (en) * | 2017-10-25 | 2018-03-06 | 南京阿凡达机器人科技有限公司 | Chess piece localization method, system, storage medium and robot based on machine vision |
CN107977977A (en) * | 2017-10-20 | 2018-05-01 | 深圳华侨城卡乐技术有限公司 | A kind of indoor orientation method, device and the storage medium of VR game |
JP2018157424A (en) * | 2017-03-17 | 2018-10-04 | 株式会社リコー | Image reading device, image reading method, and image reading program |
CN108827316A (en) * | 2018-08-20 | 2018-11-16 | 南京理工大学 | Mobile robot visual orientation method based on improved Apriltag label |
CN109018591A (en) * | 2018-08-09 | 2018-12-18 | 沈阳建筑大学 | A kind of automatic labeling localization method based on computer vision |
-
2019
- 2019-01-17 CN CN201910043348.1A patent/CN109886278A/en active Pending
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102129679A (en) * | 2010-12-02 | 2011-07-20 | 湖南农业大学 | Local positioning system and method |
CN105729468A (en) * | 2016-01-27 | 2016-07-06 | 浙江大学 | Enhanced robot workbench based on multiple depth cameras |
CN107123188A (en) * | 2016-12-20 | 2017-09-01 | 北京联合众为科技发展有限公司 | Ticket of hindering based on template matching algorithm and edge feature is recognized and localization method |
JP2018157424A (en) * | 2017-03-17 | 2018-10-04 | 株式会社リコー | Image reading device, image reading method, and image reading program |
CN107977977A (en) * | 2017-10-20 | 2018-05-01 | 深圳华侨城卡乐技术有限公司 | A kind of indoor orientation method, device and the storage medium of VR game |
CN107766855A (en) * | 2017-10-25 | 2018-03-06 | 南京阿凡达机器人科技有限公司 | Chess piece localization method, system, storage medium and robot based on machine vision |
CN109018591A (en) * | 2018-08-09 | 2018-12-18 | 沈阳建筑大学 | A kind of automatic labeling localization method based on computer vision |
CN108827316A (en) * | 2018-08-20 | 2018-11-16 | 南京理工大学 | Mobile robot visual orientation method based on improved Apriltag label |
Non-Patent Citations (1)
Title |
---|
朱笑笑: "助行机器人定位关键技术研究", 《中国优秀博硕士学位论文全文数据库(博士)信息科技辑》 * |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US9454796B2 (en) | Aligning ground based images and aerial imagery | |
US7627137B2 (en) | Image composition system, image composition method, and image composition apparatus | |
CN1187962C (en) | Method and apparatus for external calibration of a camera via a graphical user interface | |
US20060239525A1 (en) | Information processing apparatus and information processing method | |
CN110163025A (en) | Two dimensional code localization method and device | |
US20120194636A1 (en) | Information processing apparatus, information processing method, program, and imaging apparatus | |
JP2007183949A (en) | Method and apparatus for providing panoramic view with improved image matching speed and blending method | |
CN111915483B (en) | Image stitching method, device, computer equipment and storage medium | |
JP2014071850A (en) | Image processing apparatus, terminal device, image processing method, and program | |
KR102248459B1 (en) | Apparatus and methdo for calibrating a camera | |
CN114820814A (en) | Camera pose calculation method, device, equipment and storage medium | |
WO2023216982A1 (en) | Data processing method and apparatus, computer device, storage medium and program product | |
CN110070581B (en) | Double-view positioning method, device and system | |
CN109886278A (en) | A kind of characteristics of image acquisition method based on ARMarker | |
CN112073640B (en) | Panoramic information acquisition pose acquisition method, device and system | |
JP6171660B2 (en) | Information processing apparatus, information processing system, and program | |
JP2012090106A (en) | Imaging device and control method of the same | |
CN105229706B (en) | Image processing apparatus, image processing method and program | |
CN110660091A (en) | Image registration processing method and device and photographing correction operation system | |
KR102293163B1 (en) | How to acquire a target, devices and robots | |
US20180061135A1 (en) | Image display apparatus and image display method | |
WO2019080257A1 (en) | Electronic device, vehicle accident scene panoramic image display method and storage medium | |
CN109815758A (en) | A kind of characteristics of image acquisition method based on two dimensional code | |
CN109829454A (en) | A kind of characteristics of image acquisition method based on pre-training mark | |
Kourogi et al. | Improvement of panorama-based annotation overlay using omnidirectional vision and inertial sensors |
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 | ||
RJ01 | Rejection of invention patent application after publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190614 |