CN112449119A - Shot object recognition equipment, method and device - Google Patents

Shot object recognition equipment, method and device Download PDF

Info

Publication number
CN112449119A
CN112449119A CN201910813817.3A CN201910813817A CN112449119A CN 112449119 A CN112449119 A CN 112449119A CN 201910813817 A CN201910813817 A CN 201910813817A CN 112449119 A CN112449119 A CN 112449119A
Authority
CN
China
Prior art keywords
mirror surface
shooting object
light
camera
adjusting
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
Application number
CN201910813817.3A
Other languages
Chinese (zh)
Inventor
曹雪峰
刘慧刚
王适
李翔
张文超
苏彬
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
China Mobile Communications Group Co Ltd
China Mobile IoT Co Ltd
Original Assignee
China Mobile Communications Group Co Ltd
China Mobile IoT Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by China Mobile Communications Group Co Ltd, China Mobile IoT Co Ltd filed Critical China Mobile Communications Group Co Ltd
Priority to CN201910813817.3A priority Critical patent/CN112449119A/en
Publication of CN112449119A publication Critical patent/CN112449119A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/70Circuitry for compensating brightness variation in the scene
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/50Constructional details
    • H04N23/54Mounting of pick-up tubes, electronic image sensors, deviation or focusing coils
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/70Circuitry for compensating brightness variation in the scene
    • H04N23/71Circuitry for evaluating the brightness variation

Landscapes

  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Studio Devices (AREA)

Abstract

The invention relates to the technical field of shooting, and provides shot object identification equipment, a shot object identification method and a shot object identification device, which are used for solving the problem of poor flexibility of light supplement of a light source in a shooting scene. The shot object identification method comprises the following steps: under the condition that a shooting object is in a backlight environment, adjusting the position of a mirror surface according to the position of the shooting object so as to enable the mirror surface to perform light compensation on the shooting object; and identifying the shot object after the light compensation. Therefore, the shot object can perform light compensation on the shot object by utilizing the mirror reflection natural light in the backlight environment, and the accuracy of recognizing the shot object can be improved.

Description

Shot object recognition equipment, method and device
Technical Field
The invention relates to the technical field of shooting, in particular to shooting object identification equipment, method and device.
Background
With the development of the shooting technology, the face recognition technology is widely applied. Under outdoor conditions, especially when the illumination intensity is high, if the camera is used for face recognition, the facial features of the user may not be captured due to severe backlight.
In order to reduce the influence caused by backlight, a point light source light supplementing mode is adopted in the prior art, however, the range of the point light source light supplementing is fixed, and when the position of a shooting object changes, the practical application scene cannot be met by the point light source light supplementing mode.
Therefore, in a shooting scene, the flexibility of light supplement of the light source is poor.
Disclosure of Invention
The embodiment of the invention provides shot object identification equipment, a shot object identification method and a shot object identification device, and aims to solve the problem that light supplement flexibility of a light source is poor in a shooting scene.
In order to solve the technical problem, the invention is realized as follows:
in a first aspect, an embodiment of the present invention further provides a photographic subject identification device, including:
a camera;
the processor module is electrically connected with the camera;
a motor electrically connected to the processor module;
and the mirror surface is arranged on the motor.
In a second aspect, an embodiment of the present invention provides a photographic subject identification method, which is applied to a photographic subject identification apparatus having a camera, and includes:
under the condition that a shooting object is in a backlight environment, adjusting the position of a mirror surface according to the position of the shooting object so as to enable the mirror surface to perform light compensation on the shooting object;
and identifying the shot object after the light compensation.
In a third aspect, an embodiment of the present invention further provides a photographic subject recognition apparatus, where the photographic subject recognition apparatus has a camera, and the apparatus includes:
the adjusting module is used for adjusting the position of the mirror surface according to the position of the shooting object under the condition that the shooting object is in a backlight environment, so that the mirror surface can perform light compensation on the shooting object;
and the identification module is used for identifying the shot object after the light compensation.
In a fourth aspect, an embodiment of the present invention further provides an electronic device, including: a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps in the photographic subject identification method as described above when executing the computer program.
In a fifth aspect, the embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, and the computer program, when executed by a processor, implements the steps in the photographic subject identification method as described above.
In the embodiment of the invention, the shot object can perform light compensation on the shot object by utilizing the mirror surface reflected natural light in the backlight environment, so that the flexibility of light supplement on the shot object can be improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments of the present invention will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without inventive exercise.
Fig. 1 is a schematic structural diagram of a photographic subject recognition apparatus provided by an embodiment of the present invention;
fig. 2 is a flowchart of a photographic subject identification method according to an embodiment of the present invention;
FIG. 3 is an auxiliary schematic diagram of calculating a mirror adjustment angle according to an embodiment of the present invention;
fig. 4 is a second flowchart of the photographic subject identification method according to the embodiment of the present invention;
fig. 5 is one of the structural diagrams of the photographic subject recognition apparatus provided by the embodiment of the present invention;
fig. 6 is a second structural diagram of the photographic subject recognition apparatus according to the embodiment of the present invention;
fig. 7 is a third structural diagram of a photographic subject recognition apparatus according to an embodiment of the present invention;
fig. 8 is a block diagram of an adjustment module in the photographic subject recognition apparatus according to the embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, fig. 1 is a block diagram of a photographic subject recognition apparatus according to an embodiment of the present invention. As shown in fig. 1, the photographic subject recognition apparatus includes:
a camera 1;
the processor module 2 is electrically connected with the camera 1;
a motor 3 electrically connected to the processor module 2;
and a mirror 4 arranged on the motor 3.
The camera is used for collecting images; the processor module is used for acquiring images acquired by the camera, judging whether a shooting object in the images is in a backlight environment or not, and controlling the stepping motor to adjust the angle of the mirror surface under the condition that the shooting object is in the backlight environment so as to enable the mirror surface to reflect light rays to the shooting object, for example, to reflect the light rays to the face in the figure 1.
At the moment, the camera can acquire the image again, and the effect of the shot image is better due to the fact that the brightness of the acquired image is increased.
Therefore, the mirror surface angle can be flexibly adjusted according to the position of the shooting object, and the flexibility of light supplement is improved. And through mirror surface light filling, can reduce with the light intensity difference of external environment, can increase the light luminance of shooting the object to improve the degree of accuracy to shooting the object discernment. And in the process, the user does not need to manually operate and adjust, so that the shooting efficiency and the shooting effect can be improved.
Optionally, the apparatus further comprises a light source electrically connected to the processor module.
In the embodiment, the light source is connected with the processor module, and when the processor module detects that the ambient light brightness is weak, the light source can be controlled to be started, so that the ambient light brightness is increased, and image acquisition is convenient for a shooting object.
Optionally, the device further comprises a gate 5 and a bracket arranged on the gate;
the camera, the motor and the light source are arranged on the support, and the processor module is arranged in the gate machine.
In this embodiment, locate camera, motor and light source on the support, when discerning people's thing, can be equivalent with the high setting of people's face with the height of camera, motor and light source, specifically can set up the height of camera and motor according to the people's face position, be convenient for discern the people's face to and improve light luminance.
Optionally, the bracket may include a bracket 61 and a bracket 62, the motor and the mirror surface may be disposed on the bracket 61, the camera may be disposed on the bracket 62, and the relative height between the mirror surface and the camera may be set according to the light source, so as to facilitate the acquisition of the face image and the reflected light.
The above description is merely an example of the photographic subject recognition apparatus, and the structure of the photographic subject recognition apparatus may also be other structural forms, and is not limited thereto.
Referring to fig. 2, fig. 2 is a flowchart of a photographic subject identification method provided by an embodiment of the present invention, which is applied to a photographic subject identification apparatus having a camera, which may be the photographic subject identification apparatus in the above-described embodiment. As shown in fig. 2, the method comprises the following steps:
step 201, under the condition that the shooting object is in a backlight environment, adjusting the position of a mirror surface according to the position of the shooting object, so that the mirror surface performs light compensation on the shooting object.
The object may be a person, for example, when the person is photographed, the light intensity of the face of the person is detected, and the object may also be an animal or other objects, which is not limited herein.
In this step, whether the photographic subject is in a backlight environment is detected, and the determination can be made according to the contrast between the brightness of the photographic subject and the brightness of the background; or when the brightness of the ambient light is high and the brightness of the photographic subject is low, the photographic subject is determined to be in the backlight environment.
Under the condition that the shooting object is in a backlight environment, the position of the mirror surface can be adjusted, so that the mirror surface reflects natural light to the shooting object, and the light brightness of the shooting object is enhanced. Specifically, a motor connected with the mirror surface, such as a stepping motor, can be controlled to perform fine adjustment, so that the angle of the mirror surface is adjusted until the collected image of the shooting object is not backlit, the mirror surface stops adjusting, and the system performs face recognition. Therefore, the mirror surface angle can be flexibly adjusted according to the position of the shooting object, and the flexibility of light supplement can be improved. And through mirror surface light filling, can reduce with the light intensity difference of external environment, improve the shooting effect of image.
Optionally, the adjusting the position of the mirror surface according to the position of the photographic object includes:
acquiring the altitude angle of the sun;
calculating an angle to be adjusted of the mirror surface according to the position relation among the mirror surface, the shooting object, the camera and the sun, the altitude angle of the sun, the visual angle of the camera and the inclination angle of the camera;
and adjusting the mirror surface according to the angle to be adjusted.
Wherein, the solar altitude can be determined according to the current time, position and the like.
Specifically, the relationship between the time difference Δ t and the local latitude K may be as follows:
Figure BDA0002185792230000051
when ST is true sun, ST is the current time + time difference; in the case of a time difference determination, ST can be derived; and the current solar time angle t can be obtained according to the following formula:
Figure BDA0002185792230000052
n is the day of the year (days of the year) and δ is the local declination. The relationship between N and δ is as follows:
sinδ=0.39795cos[0.98563(N-173)]
the local declination delta can be calculated by the formula.
Based on the above calculation result, the solar altitude angle α can be calculated by the following formula:
sinα=sinλsinδ+cosδcosλcost
where λ is the local latitude.
In this embodiment, the following description is given with reference to the accompanying drawings for convenience of understanding. The geometric relationship shown in fig. 3 can be obtained based on the positional relationship of the mirror, the camera, and the photographic subject in fig. 1, in which the solid line in the figure represents a light ray and the broken line represents an auxiliary line.
From the above calculation, the solar altitude α can be obtained. While the angle of view β of the camera and the tilt angle θ of the camera can be detected, as shown in fig. 3. Wherein, the inclination angle of camera can be understood as the contained angle of the axis of perpendicular to camera mirror surface and horizontal plane.
The lengths of AB and AH can be obtained from the positional relationship among the camera position a, the mirror center position B, the sun position C, and the subject position O, where BD is perpendicular to the adjusted mirror M, the solar ray is incident on the mirror M along CB, reflected along BO, and then reflected to the subject position O through the mirror M. The included angle between the mirror surface N before adjustment and the mirror surface M after adjustment is
Figure BDA0002185792230000057
OH was perpendicular to AE.
According to the above-mentioned relation,
Figure BDA0002185792230000053
since the angle of incidence is the angle of reflection,
Figure BDA0002185792230000054
can obtain tau-90 deg
Figure BDA0002185792230000055
Therefore, the angle E is 90 °
Figure BDA0002185792230000056
From the geometric relationship in fig. 3, the following equation can be derived:
Figure BDA0002185792230000061
Figure BDA0002185792230000062
Figure BDA0002185792230000063
OH can be calculated based on the formula (1), OH can be calculated based on the formula (2) and the formula (3)
Figure BDA0002185792230000064
Figure BDA0002185792230000065
I.e. the angle of mirror adjustment. Like this, can adjust the angle of mirror surface according to the position of shooing the object, can realize the accurate regulation to the mirror surface deflection to improve the shooting luminance of shooing the object, improve the shooting effect.
Optionally, before the adjusting the position of the mirror according to the position of the photographic subject when the photographic subject is in the backlight environment, the method further includes:
detecting the brightness of the environment light;
detecting the light brightness of the shooting object under the condition that the ambient light brightness is greater than or equal to a first brightness value;
the adjusting the position of the mirror surface according to the position of the shooting object under the condition that the shooting object is in the backlight environment comprises the following steps:
and under the condition that the shooting object is determined to be in a backlight environment according to the light brightness, adjusting the position of a mirror surface according to the position of the shooting object.
In this embodiment, the ambient light brightness may be detected first, and in the case that the ambient light brightness is bright, that is, the ambient light brightness is greater than or equal to the preset first brightness value, the light brightness of the shooting object may be further detected. If the ambient light brightness is bright and the light brightness of the shooting object is dark, the shooting object can be shown to be in a backlight environment, the angle of the mirror surface can be adjusted according to the position of the shooting object, so that the natural light is reflected to the shooting object by the shooting mirror surface, and the light brightness of the shooting object is enhanced.
The embodiment can improve the accuracy of backlight environment detection, so that the mirror surface is controlled to perform light compensation in the backlight environment, and the accuracy of shooting object identification is improved.
Optionally, after detecting the ambient light brightness, the method further includes:
and under the condition that the ambient light brightness is less than the second brightness value, the light source is started.
In this embodiment, the ambient light brightness is less than the preset second brightness value, which may indicate that the ambient light is dark, and at this time, the light source may be turned on to perform light compensation on the environment, thereby improving the accuracy of the recognition of the photographed object. Wherein the second luminance value may be the same as or different from the first luminance value.
And step 202, identifying the shot object after light compensation.
In this step, after the light compensation, the photographic subject can be identified, and the accuracy of the photographic subject identification can be improved. Furthermore, after the shooting object is identified, shooting can be carried out, so that the shooting object can be further optimized, and the image effect is improved.
According to the shot object identification method, under the condition that a shot object is in a backlight environment, the position of a mirror surface is adjusted according to the position of the shot object, so that the mirror surface performs light compensation on the shot object; and identifying the shot object after the light compensation. Therefore, under the backlight environment, the mirror reflection natural light can be used for carrying out light compensation on the shot object, the accuracy of recognizing the shot object can be improved, and the effect of the shot image can be improved.
In order to facilitate an understanding of the embodiments of the present invention, the following description is given by way of example only.
As shown in fig. 4, when performing face recognition, the ambient light brightness is obtained first. If the ambient light is dark, namely the light brightness is smaller than the second brightness value, turning on a light source to adjust the brightness, and further performing face recognition; if the ambient light brightness is bright, that is, the light brightness is greater than the first brightness value, whether the human face is in a backlight environment is further determined, and the specific determination manner may refer to the prior art. If the face is in a backlight environment, automatically adjusting the angle of the mirror surface according to the face position, and further identifying; and if the human face is not in the backlight environment, identifying the human face.
Referring to fig. 5, fig. 5 is a structural diagram of a device for recognizing a photographic subject according to an embodiment of the present invention, the device including a camera. As shown in fig. 5, the photographic subject recognition apparatus 500 includes:
an adjusting module 501, configured to adjust a position of a mirror according to a position of a photographic subject when the photographic subject is in a backlight environment, so that the mirror performs light compensation on the photographic subject;
an identifying module 502, configured to identify the shooting object after light compensation.
Optionally, as shown in fig. 6, the apparatus further includes:
a first detection module 503, configured to detect ambient light brightness;
a second detecting module 504, configured to detect light brightness of the photographic subject when the ambient light brightness is greater than or equal to a first brightness value;
the adjusting module 501 is specifically configured to:
and under the condition that the shooting object is determined to be in a backlight environment according to the light brightness, adjusting the position of a mirror surface according to the position of the shooting object.
Optionally, as shown in fig. 7, the apparatus further includes:
and a starting module 505, configured to start the light source when the ambient light brightness is smaller than the second brightness value.
Optionally, as shown in fig. 8, the adjusting module includes:
an acquisition submodule 5011 for acquiring a solar altitude;
the calculating submodule 5012 is configured to calculate an angle to be adjusted of the mirror surface according to the mirror surface, the shooting object, the position relationship between the camera and the sun, the altitude of the sun, the viewing angle of the camera, and the inclination angle of the camera;
and the adjusting submodule 5013 is used for adjusting the mirror surface according to the angle to be adjusted.
The shot object recognition apparatus 500 can implement each process implemented by the terminal device in the foregoing method embodiments, and is not described here again to avoid repetition.
According to the shot object recognition device 500 provided by the embodiment of the invention, the shot object can be subjected to light compensation by using the mirror reflection natural light in the backlight environment, so that the accuracy of shot object recognition can be improved.
Preferably, an embodiment of the present invention further provides an electronic device, which includes a processor, a memory, and a computer program stored in the memory and capable of running on the processor, where the computer program, when executed by the processor, implements each process in the foregoing method for identifying a photographic subject, and can achieve the same technical effect, and details are not repeated here to avoid repetition.
The embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the computer program implements each process of the above-mentioned shot object identification method embodiment, and can achieve the same technical effect, and in order to avoid repetition, details are not repeated here. The computer-readable storage medium may be a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
While the present invention has been described with reference to the embodiments shown in the drawings, the present invention is not limited to the embodiments, which are illustrative and not restrictive, and it will be apparent to those skilled in the art that various changes and modifications can be made therein without departing from the spirit and scope of the invention as defined in the appended claims.

Claims (13)

1. A photographic subject recognition apparatus characterized by comprising:
a camera;
the processor module is electrically connected with the camera;
a motor electrically connected to the processor module;
and the mirror surface is arranged on the motor.
2. The apparatus of claim 1, further comprising a light source electrically connected to the processor module.
3. The apparatus of claim 2, further comprising a gate and a support disposed on the gate;
the camera, the motor and the light source are arranged on the support, and the processor module is arranged in the gate machine.
4. A photographic subject recognition method, applied to a photographic subject recognition apparatus having a camera, comprising:
under the condition that a shooting object is in a backlight environment, adjusting the position of a mirror surface according to the position of the shooting object so as to enable the mirror surface to perform light compensation on the shooting object;
and identifying the shot object after the light compensation.
5. The method according to claim 4, wherein before adjusting the position of the mirror according to the position of the photographic subject in the backlight environment, the method further comprises:
detecting the brightness of the environment light;
detecting the light brightness of the shooting object under the condition that the ambient light brightness is greater than or equal to a first brightness value;
the adjusting the position of the mirror surface according to the position of the shooting object under the condition that the shooting object is in the backlight environment comprises the following steps:
and under the condition that the shooting object is determined to be in a backlight environment according to the light brightness, adjusting the position of a mirror surface according to the position of the shooting object.
6. The method of claim 5, wherein after detecting the ambient light level, the method further comprises:
and under the condition that the ambient light brightness is less than the second brightness value, the light source is started.
7. The method according to any one of claims 4 to 6, wherein the adjusting the position of the mirror surface according to the position of the photographic subject includes:
acquiring the altitude angle of the sun;
calculating an angle to be adjusted of the mirror surface according to the position relation among the mirror surface, the shooting object, the camera and the sun, the altitude angle of the sun, the visual angle of the camera and the inclination angle of the camera;
and adjusting the mirror surface according to the angle to be adjusted.
8. A photographic subject recognition apparatus having a camera, the apparatus comprising:
the adjusting module is used for adjusting the position of the mirror surface according to the position of the shooting object under the condition that the shooting object is in a backlight environment, so that the mirror surface can perform light compensation on the shooting object;
and the identification module is used for identifying the shot object after the light compensation.
9. The apparatus of claim 8, further comprising:
the first detection module is used for detecting the brightness of the environment light;
the second detection module is used for detecting the light brightness of the shooting object under the condition that the ambient light brightness is greater than or equal to the first brightness value;
the adjustment module is specifically configured to:
and under the condition that the shooting object is determined to be in a backlight environment according to the light brightness, adjusting the position of a mirror surface according to the position of the shooting object.
10. The apparatus of claim 9, further comprising:
and the starting module is used for starting the light source under the condition that the ambient light brightness is less than the second brightness value.
11. The apparatus of any one of claims 8 to 10, wherein the adjustment module comprises:
the acquisition submodule is used for acquiring the altitude angle of the sun;
the calculation submodule is used for calculating an angle to be adjusted of the mirror surface according to the position relation among the mirror surface, the shooting object, the camera and the sun, the altitude angle of the sun, the visual angle of the camera and the inclination angle of the camera;
and the adjusting submodule is used for adjusting the mirror surface according to the angle to be adjusted.
12. An electronic device, comprising: memory, processor and computer program stored on the memory and executable on the processor, which when executed by the processor implements the steps in the photographic subject identification method according to any of claims 4 to 7.
13. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps in the photographic subject identification method according to any one of claims 4 to 7.
CN201910813817.3A 2019-08-30 2019-08-30 Shot object recognition equipment, method and device Pending CN112449119A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910813817.3A CN112449119A (en) 2019-08-30 2019-08-30 Shot object recognition equipment, method and device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910813817.3A CN112449119A (en) 2019-08-30 2019-08-30 Shot object recognition equipment, method and device

Publications (1)

Publication Number Publication Date
CN112449119A true CN112449119A (en) 2021-03-05

Family

ID=74733718

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910813817.3A Pending CN112449119A (en) 2019-08-30 2019-08-30 Shot object recognition equipment, method and device

Country Status (1)

Country Link
CN (1) CN112449119A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114885096A (en) * 2022-03-29 2022-08-09 北京旷视科技有限公司 Shooting mode switching method, electronic equipment and storage medium

Citations (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104580928A (en) * 2015-01-29 2015-04-29 广东欧珀移动通信有限公司 Camera shooting light fill-in method and device
CN105869253A (en) * 2016-05-27 2016-08-17 成都千帆科技开发有限公司 People-certificate-ticket comprehensive verification pedestrian gate machine based on human face identification
CN106210334A (en) * 2016-07-22 2016-12-07 惠州Tcl移动通信有限公司 A kind of smart flash lamp control method, system and mobile terminal
US20170054885A1 (en) * 2007-08-20 2017-02-23 Matthew Rolston Photographer, Inc. Mobile device with operation for modifying visual perception
CN106848927A (en) * 2017-04-05 2017-06-13 深圳市安思科电子科技有限公司 It is a kind of to observe device suitable for the intelligent electric power line walking that backlight is patrolled and examined
CN108055402A (en) * 2017-12-21 2018-05-18 维沃移动通信有限公司 A kind of image pickup method and mobile terminal
CN108429885A (en) * 2017-02-13 2018-08-21 杭州海康威视数字技术股份有限公司 A kind of inter-linked controlling method, the apparatus and system of laser and video camera
CN208061272U (en) * 2018-01-29 2018-11-06 安徽智传科技有限公司 A kind of two-way attendance recorder of system of real name recognition of face
CN208633010U (en) * 2018-07-26 2019-03-22 广东文城科技发展有限公司 Intelligent human-face bluetooth recognition gate
CN208861350U (en) * 2018-10-18 2019-05-14 康明飞(北京)科技有限公司 A kind of recognition of face gate and fast open gate
CN209000085U (en) * 2018-08-20 2019-06-18 天津航大航空设备有限公司 A kind of self check door equipment
CN209103392U (en) * 2018-12-25 2019-07-12 深圳市好德芯电子科技有限公司 A kind of base type gate of band high speed 3D recognition of face
CN110022426A (en) * 2019-04-12 2019-07-16 南京东奇艾尼特科技有限公司 A kind of camera Intelligent supplemental lighting method based on image recognition
CN110177207A (en) * 2019-05-29 2019-08-27 努比亚技术有限公司 Image pickup method, mobile terminal and the computer readable storage medium of backlight image

Patent Citations (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20170054885A1 (en) * 2007-08-20 2017-02-23 Matthew Rolston Photographer, Inc. Mobile device with operation for modifying visual perception
CN104580928A (en) * 2015-01-29 2015-04-29 广东欧珀移动通信有限公司 Camera shooting light fill-in method and device
CN105869253A (en) * 2016-05-27 2016-08-17 成都千帆科技开发有限公司 People-certificate-ticket comprehensive verification pedestrian gate machine based on human face identification
CN106210334A (en) * 2016-07-22 2016-12-07 惠州Tcl移动通信有限公司 A kind of smart flash lamp control method, system and mobile terminal
CN108429885A (en) * 2017-02-13 2018-08-21 杭州海康威视数字技术股份有限公司 A kind of inter-linked controlling method, the apparatus and system of laser and video camera
CN106848927A (en) * 2017-04-05 2017-06-13 深圳市安思科电子科技有限公司 It is a kind of to observe device suitable for the intelligent electric power line walking that backlight is patrolled and examined
CN108055402A (en) * 2017-12-21 2018-05-18 维沃移动通信有限公司 A kind of image pickup method and mobile terminal
CN208061272U (en) * 2018-01-29 2018-11-06 安徽智传科技有限公司 A kind of two-way attendance recorder of system of real name recognition of face
CN208633010U (en) * 2018-07-26 2019-03-22 广东文城科技发展有限公司 Intelligent human-face bluetooth recognition gate
CN209000085U (en) * 2018-08-20 2019-06-18 天津航大航空设备有限公司 A kind of self check door equipment
CN208861350U (en) * 2018-10-18 2019-05-14 康明飞(北京)科技有限公司 A kind of recognition of face gate and fast open gate
CN209103392U (en) * 2018-12-25 2019-07-12 深圳市好德芯电子科技有限公司 A kind of base type gate of band high speed 3D recognition of face
CN110022426A (en) * 2019-04-12 2019-07-16 南京东奇艾尼特科技有限公司 A kind of camera Intelligent supplemental lighting method based on image recognition
CN110177207A (en) * 2019-05-29 2019-08-27 努比亚技术有限公司 Image pickup method, mobile terminal and the computer readable storage medium of backlight image

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114885096A (en) * 2022-03-29 2022-08-09 北京旷视科技有限公司 Shooting mode switching method, electronic equipment and storage medium
CN114885096B (en) * 2022-03-29 2024-03-15 北京旷视科技有限公司 Shooting mode switching method, electronic equipment and storage medium

Similar Documents

Publication Publication Date Title
CN105872362B (en) Method for determining angle to be adjusted and electronic equipment
JP4675851B2 (en) Method for adaptively determining camera settings according to scene and camera configured to adaptively determine camera settings according to scene
JP4772612B2 (en) Method and system for generating enhanced output images
US20230206685A1 (en) Decreasing lighting-induced false facial recognition
CN110418069B (en) Light supplementing control method, mobile terminal and computer readable storage medium
US9049397B2 (en) Image processing device and image processing method
US20200053276A1 (en) Method for processing image based on scene recognition of image and electronic device therefor
US7995807B2 (en) Automatic trimming method, apparatus and program
JP2007035028A (en) Producing method for high dynamic range image, and production system for high dynamic range output image
CN106954051B (en) A kind of image processing method and mobile terminal
US8164685B2 (en) Image pickup apparatus which performs aperture value control for a multiple exposure image, and recording medium
CN105718922B (en) Adaptive adjusting method and device for iris recognition
CN104580901A (en) Shooting parameter determining method and terminal
CN112449119A (en) Shot object recognition equipment, method and device
CN110658918B (en) Positioning method, device and medium for eyeball tracking camera of video glasses
US11087118B2 (en) Facial recognition method
US20220084242A1 (en) Information processing system, method, and program
US20090041377A1 (en) Method and system for defect image correction
EP4297395A1 (en) Photographing exposure method and apparatus for self-walking device
CN111666869B (en) Face recognition method and device based on wide dynamic processing and electronic equipment
CN108600631A (en) Image processing method, device, computer readable storage medium and electronic equipment
US20190332877A1 (en) Biometric authentication device and recording medium
US10609275B2 (en) Image processing device, image processing method, and recording medium
US20230177803A1 (en) Cloud observation system, cloud observation method, and computer-readable recording medium
CN110099207B (en) Effective image calculation method for overcoming camera instability

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: 20210305