CN111698409A - Indoor photographing light dimming method - Google Patents
Indoor photographing light dimming method Download PDFInfo
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- CN111698409A CN111698409A CN202010577268.7A CN202010577268A CN111698409A CN 111698409 A CN111698409 A CN 111698409A CN 202010577268 A CN202010577268 A CN 202010577268A CN 111698409 A CN111698409 A CN 111698409A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/50—Constructional details
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/56—Cameras or camera modules comprising electronic image sensors; Control thereof provided with illuminating means
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/70—Circuitry for compensating brightness variation in the scene
- H04N23/74—Circuitry for compensating brightness variation in the scene by influencing the scene brightness using illuminating means
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Abstract
The invention discloses a method and a system for dimming indoor photographing light, wherein the method comprises the following steps: the method comprises the steps that a photographing gesture of a user is obtained through an indoor infrared sensor, and whether the user shoots a self-timer or shoots other objects is analyzed; according to the shooting angle, acquiring color characteristics and light characteristics of the indoor environment in a scene corresponding to the current mobile phone camera; inputting the color characteristics and the light characteristics into a pre-trained optimal shooting color brightness model, and judging the color and the brightness of the lamplight to be compensated; according to the requirements of color and brightness, the light turning direction is adjusted by combining the distance between the lamp tube and the user, and/or the lamp tube at the indoor fixed position is automatically opened or closed to be in line with the planned light compensation target; and after the user finishes shooting, detecting the shooting finishing action and recovering the original indoor light. The invention can well utilize indoor environment light as a tool for supplementing light during photographing, and can automatically control the indoor light through the dimmer, thereby realizing better photographing effect.
Description
Technical Field
The invention relates to the technical field of indoor lighting, in particular to an indoor photographing light dimming method.
Background
Indoor photography often results in poor quality due to lighting problems. Whether in the night or in the daytime, because the light is too dark or reflected, the photos taken by the mobile phone can cause overexposure, insufficient brightness, blurring, dim complexion and the like. Most methods for optimizing the quality of the photos are derived from how to perform light compensation by an algorithm in the mobile phone, and indoor light cannot be optimized. In a room equipped with a dimmer or automatic light control, it is possible to optimize the lighting in the room for photographing. In fact, many companies have lighting layouts with these devices on the market, and the invention identifies the user's photographing behavior based on a dimmer, an infrared sensor, a camera, and the like. And recognizing the photographing angle, background, reflection and the like, and performing light brightness compensation and color light compensation. The user generally does not dim himself, because it is not accurate enough and is too cumbersome. Therefore, the invention adopts an algorithm to carry out light compensation on the indoor photographing behavior of the user. The indoor photographing effect is optimized optimally, and the photographed photo is more attractive.
Disclosure of Invention
The invention aims to solve the defects of the prior art and provides an indoor photographing light dimming method.
The purpose of the invention can be achieved by adopting the following technical scheme:
the method comprises the steps that a photographing gesture of a user is obtained through an indoor infrared sensor, and whether the user shoots a self-timer or shoots other objects is analyzed;
according to the shooting angle, acquiring color characteristics and light characteristics of the indoor environment in a scene corresponding to the current mobile phone camera;
inputting the color characteristics and the light characteristics into a pre-trained optimal shooting color brightness model, and judging the color and the brightness of the lamplight to be compensated;
adjusting the light turning direction according to the color and brightness requirements and the distance between the lamp tube and the user, and/or,
automatically opening or closing the lamp tube at a fixed position in the room to make the lamp tube accord with a planned light compensation target;
and after the user finishes shooting, detecting the shooting finishing action and recovering the original indoor light.
Further optionally, in the method as described above, the acquiring a photographing gesture of the user through the indoor infrared sensor, and analyzing whether to take a self-portrait or take another object, mainly includes:
analyzing the photographing posture and action of the user through a mobile phone image acquired by an indoor infrared sensor and a mobile phone camera, wherein the photographing posture and action comprise the action of lifting the mobile phone, and judging whether the user is ready to photograph or not through similarity matching with a preset standard photographing action; the front side and the back side of the mobile phone are judged by acquiring whether the mobile phone is started to be a front camera or a rear camera and according to the characteristics of a display screen on the surface of the mobile phone in an image, so that the self-photographing or the photographing of other objects is obtained.
Further optionally, in the method described above, the obtaining, according to the shooting angle, color characteristics and light characteristics of an indoor environment in a scene corresponding to the current mobile phone camera mainly includes:
according to the indoor infrared sensor and the camera, the position and the height of a person are obtained, and the background behind the user is judged; the method comprises the steps of obtaining the inclination angle of the mobile phone and the visual angle of a camera of the mobile phone through a gyroscope in the mobile phone, and judging the indoor shooting range and background in a scene corresponding to the mobile phone, so that the wall background, the furniture color, the character skin color and the clothes color characteristic corresponding to the shooting angle are accurately obtained.
Further optionally, in the method as described above, the inputting, according to the color feature and the light feature, into a pre-trained optimal light color brightness model mainly includes:
training an optimal lighting color and brightness model by acquiring lighting brightness and lighting color set by a professional photographer in a photo studio each time as training data and taking an optimal topN photo after photographing as a labeling result; and judging the difference between the color and brightness characteristics of the current visual angle and the optimal light brightness color characteristics through the trained model.
Further optionally, in the method as described above, the determining the color and brightness of the light that needs to be compensated mainly includes:
the optimal photographing effect can be achieved only by obtaining the wall background, the furniture color and the character complexion, calculating the illumination degree aiming at the wall surface, the furniture and the complexion according to the current light color, the illumination angle and the illumination brightness and combining a trained optimal light color brightness model to judge the light compensation and the color compensation which should be given to the light and the background based on the current scene.
Further optionally, in the method as described above, the adjusting of the lamp turning direction and/or automatically turning on or off the lamp at a fixed position in the room according to the color and brightness requirements and the distance between the lamp and the user so as to meet the planned light compensation target mainly includes:
controlling the lamp tube to turn through a dimmer according to a shooting angle so as to reduce reflection, or enabling light to accurately hit a specific position of a human body to realize light brightness compensation, wherein the specific position of the human body is determined by a required light brightness compensation value;
or when the brightness is insufficient, automatically opening the associated lamp tubes around the photographing place; or when the brightness is excessive, the related lamp tubes around the photographing place are automatically closed, so that the brightness is reduced.
Further optionally, in the method as described above, the detecting a completion action and restoring the initial lighting mainly include:
acquiring the action of the user through an indoor infrared sensor, performing similarity matching with a pre-stored action image, and judging whether the photographing action of the user is finished;
and the number of the first and second electrodes,
detecting whether a mobile phone photo just taken is not deleted or not through a mobile phone API interface technology, and detecting whether a mobile phone closes a camera shooting mode or not;
and the number of the first and second electrodes,
detecting whether the bag is put into the pocket or not through a mobile phone light sensor;
if all three are finished, the user can not continue shooting again, and the light is automatically restored through the dimmer.
The invention provides a light modulation system of an indoor photographic lamp, which comprises:
the photographing judging module is used for judging whether the user needs to take a picture or not;
the color background acquisition module is used for acquiring background environment calculation light reflection degree and compensation degree;
the light compensation calculation module is used for calculating a light compensation value based on a machine learning model;
the dimming lamp tube control module is used for adjusting light near a photographing place according to required light compensation and controlling the brightness and color of the lamp tube;
and the light recovery module is used for analyzing whether the user finishes photographing or not and recovering the most initial light.
The invention has the beneficial effects that:
according to the invention, by analyzing indoor light and environmental factors during photographing and adopting an algorithm, the indoor photographing behavior of the user is subjected to light compensation, and an indoor dimmer and an arranged indoor light pipe system can be better utilized. Convenient operation, full-automatic discernment process of shooing and automatic adjust luminance to the action of shooing, through the light configuration of shooing of deep learning technique learning professional photographer, make light compensation more reasonable. Finally, the indoor photographing effect is optimized, and the photographed picture is more attractive.
Drawings
Fig. 1 is a flowchart of an embodiment of a lighting dimming method for indoor photography according to the present invention.
Fig. 2 is a block diagram of an embodiment of an indoor photographic light illumination system of the present invention.
Detailed Description
Step one, acquiring a photographing gesture of a user through an indoor infrared sensor, and analyzing whether the user shoots a self-timer or shoots other people or objects. The mobile phone images of the user and the photographing postures and actions of the user are acquired through the indoor infrared sensor and the indoor camera, and the actions comprise actions of lifting the mobile phone.
An infrared sensor is arranged indoors, and the infrared sensor collects images of a user, including body height characteristics and the like; and carrying out similarity matching on the detected image and a preset photographing standard action image. Specifically, a skeleton key point diagram of a current photographing user can be generated through a human body action recognition algorithm of openposition software, and compared with a skeleton key point diagram extracted from a currently marked human body photographing picture to obtain a difference matrix of the two, if the similarity of the two matrixes is smaller than a preset threshold value, the two matrixes are successfully matched, and the photographing posture and the action of the user can be determined; acquiring a mobile phone image through a camera, identifying the front side and the back side of the mobile phone, detecting whether the mobile phone is started by a front camera or a rear camera by calling an API (application program interface) of a mobile phone system, acquiring an image on the mobile phone if the mobile phone is started by the front camera, and capturing the position and the posture of a human face through a human body identification algorithm of openvc software so as to judge that the self-shooting is performed; if the mobile phone is the rear camera, the image on the mobile phone is acquired, and the person, the wall background, the household appliance, the household furnishings and the like are captured through an object recognition algorithm of openvc software.
The reason why the user needs to judge whether to take a self-timer or take other objects is mainly because the user needs to shine light according to the angle of shooting when dimming. If the self-timer and other object analysis are wrong, the lighting direction is wrong. The photographing posture, the movement and the photographing direction of the user can be accurately judged through the algorithm.
And step two, acquiring a shooting angle, acquiring a shooting article environment, analyzing the skin color, the clothes color, the background brightness and the illumination of the article, and acquiring the current ambient light.
Acquiring the inclination angle of the mobile phone through a gyroscope in the mobile phone, and acquiring indoor environments such as wall surface background, furniture color and the like at the angle; in professional shooting technologies, a high-quality picture is taken by virtue of good light rays, wherein the shooting includes processing of hard light and soft light, matching of main light, auxiliary light and contour light and the like. The light source characteristics can be acquired and analyzed through the indoor camera to the angle and the intensity of various light sources. The required intensity and angle of the light sources and the color of the lighting of the baking support can be obtained through multiple photographing experiments of professional photographers.
And step three, training a deep learning model according to the photographing light setting condition of the professional studio, and judging the difference with the current ambient light.
The lighting parameters set by professional photographers in the studio are obtained each time the professional photographers shoot similar scenes. The parameters comprise but are not limited to the characteristics of hard light and soft light proportion, main light, auxiliary light, contour light, lighting color, contrast, exposure, brightness, color temperature and the like, the illumination parameter values are recorded through the detection of a camera and are used as training data, and an optimal lamplight color and brightness model is trained through an optimal topN photo which is preferably shot and is used as a marking result; the training method can adopt a deep learning algorithm or a support vector machine algorithm to train. Through the trained model, when a specific type of picture is to be shot, the model is called, the picture shooting scene of the current user is calculated to be closest to one of the training scenes, and the optimal light ray which is adopted by a photographer and can achieve the best scene shooting effect in the closest scene is output through the model. The optimal light color brightness value is an array formed by a plurality of parameters, and comprises hard light and soft light proportion, main light brightness, auxiliary light brightness, contour light brightness, lighting color and the like. By comparing the difference between this value and the current ambient light, the specific parameter that the current ambient light should improve can be obtained.
The optimal photographing effect can be achieved only by obtaining the wall background, the home color and the character complexion, calculating the illumination degree aiming at the wall surface, the home and the complexion according to the current light color, the illumination angle and the illumination brightness and combining the trained optimal light color brightness model to judge the light compensation and the color compensation which should be given to the calculation under the current light and the background.
For example, when a user performs self-shooting, the system acquires characteristics of a wall background, a furniture color, a person skin color and clothes color and the like of a shooting angle, and simultaneously acquires a current illumination brightness value through a light sensor in the mobile phone to acquire optical parameters, wherein the optical parameters include: the ratio of hard light to soft light is 1:3, the main light intensity gear 27, the auxiliary light gear 12 and the contour light 3, and the polishing color is white. In a similar scene obtained by training a model shot by a professional photographer in a studio, the required light rays are the hard light and soft light ratio of 2:3, the main light intensity gear 21, the auxiliary light gear 13 and the contour light 6, so that the subtraction of the above values can quickly know what adjustment should be made to the ambient light, and the effect of the model shot by the professional photographer is better and close to that of the model shot by the professional photographer.
And step four, according to the requirements of color and brightness, combining the distance between the lamp tube and the user, adjusting the lamp tube steering, and/or automatically opening or closing a certain lamp tube at an indoor fixed position to make the lamp tube accord with a planned compensation target.
According to the shooting angle, the brightness of the lamp tube is controlled through the light modulator to be used as auxiliary light, so that the stereoscopic impression is increased; and the brightness adjustment is used as a compensation value according to the difference value between the brightness adjustment and the optimal shooting brightness calculated in the previous step. Or the light modulator controls the light tube to turn, so that the light can more accurately hit the specific position of the person, and the main light of the light is enhanced; in addition, the illumination intensity of the lamp tube is controlled according to the distance between the position to be shot and the lamp tube, so that the required light brightness compensation value at a specific position is determined; for example, if the target is far away from the object, the light compensation given by the lamp needs to be stronger.
Or when the brightness is insufficient, the related lamp tube near the photographing place is automatically opened, or when the brightness is excessive, the lamp tube at the indoor fixed position is automatically closed, so that the brightness is reduced.
On the other hand, the dimmer readjusts the light turning direction according to the angle changed when the user takes a picture, or automatically turns on and off the lamp tube at the indoor fixed position again, so that the lamp tube meets the changed compensation target.
When the change of the shooting angle of the user is detected, but the change value of the angle does not exceed a preset threshold value, the dimmer controls the light to turn and automatically turns on and off a certain lamp tube at a fixed position in a room unchanged. However, when the shooting angle changes to a certain degree and exceeds a critical value, for example, the user moves a position greatly, the dimmer automatically controls the light steering of the lamp tube to enable the lamp tube to be more suitable for the current position; or automatically opening or closing a certain lamp tube at a fixed position in the room to meet the compensation value of the shot object.
By the above-described automatic control of the light dimming based on the deep learning in the room, we can realize the following effects. For example: in the background of the black furniture with the shooting angle, the black hair is shot in the background, and the shot picture can easily distinguish the background or the hair. At this time, if the dimmer adjusts the illumination angle of the lamp tube and enhances the brightness, the brightness adjustment is based on the compensation brightness value calculated by the previous model, and finally a light is made toward the hair position according to the distance between the lamp tube and the user, then the photographed photo can clearly distinguish the background and his hair. Thus, the light can separate the object from the environment, and the photo is more vivid and has a more three-dimensional photo effect by dimming.
And step five, detecting the completion action and recovering the initial light.
Acquiring the action of the user through an indoor infrared sensor, performing similarity matching with a preset action image, and judging whether the photographing action of the user is finished; the preset action is a common standing, sitting or walking action;
whether the mobile phone photo just taken is deleted or not can be detected through a mobile phone API interface technology, if the mobile phone photo just taken is deleted, the photo can be continuously taken, and if the mobile phone photo is not deleted and the fact that the camera shooting mode of the mobile phone is closed is detected, the probability of not continuously taking the photo is higher;
whether the mobile phone is put into a pocket or not can be detected through a mobile phone light sensor;
if all three are finished, the user can not continue shooting again, and the original lighting is automatically recovered through the dimmer. Therefore, when the dimming is started, the system needs to record the most original light, the system can be conveniently restored to the starting state, and the normal lighting habits of users cannot be influenced by photographing.
Programs for implementing the information governance of the present invention may be written in computer program code for carrying out operations of the present invention in one or more programming languages, including an object oriented programming language such as Java, python, C + +, or a combination thereof, as well as conventional procedural programming languages, such as the C language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
In the embodiments provided in the present invention, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described device embodiments are merely illustrative, and for example, the division of the units is only one logical functional division, and other divisions may be realized in practice.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit. The integrated unit implemented in the form of a software functional unit may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium and includes several instructions to enable a computer device (which may be a personal computer, a server, or a network device) or a processor (processor) to execute some steps of the methods according to the embodiments of the present invention.
And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (8)
1. An indoor photographing light dimming method is characterized by comprising the following steps:
the method comprises the steps that a photographing gesture of a user is obtained through an indoor infrared sensor, and whether the user shoots a self-timer or shoots other objects is analyzed;
according to the shooting angle, acquiring color characteristics and light characteristics of the indoor environment in a scene corresponding to the current mobile phone camera;
inputting the color characteristics and the light characteristics into a pre-trained optimal shooting color brightness model, and judging the color and the brightness of the lamplight to be compensated;
adjusting the light turning direction according to the color and brightness requirements and the distance between the lamp tube and the user, and/or,
automatically opening or closing the lamp tube at a fixed position in the room to make the lamp tube accord with a planned light compensation target;
and after the user finishes shooting, detecting the shooting finishing action and recovering the original indoor light.
2. The method of claim 1, wherein the capturing the user's photographing gesture through the indoor infrared sensor, and analyzing whether to take a self-portrait or a photograph of another object mainly comprises:
analyzing the photographing posture and action of the user through a mobile phone image acquired by an indoor infrared sensor and a mobile phone camera, wherein the photographing posture and action comprise the action of lifting the mobile phone, and judging whether the user is ready to photograph or not through similarity matching with a preset standard photographing action; the front side and the back side of the mobile phone are judged by acquiring whether the mobile phone is started to be a front camera or a rear camera and according to the characteristics of a display screen on the surface of the mobile phone in an image, so that the self-photographing or the photographing of other objects is obtained.
3. The method of claim 1, wherein the obtaining of the color and light characteristics of the indoor environment in the scene corresponding to the current mobile phone camera according to the shooting angle mainly comprises:
according to the indoor infrared sensor and the camera, the position and the height of a person are obtained, and the background behind the user is judged; the method comprises the steps of obtaining the inclination angle of the mobile phone and the visual angle of a camera of the mobile phone through a gyroscope in the mobile phone, and judging the indoor shooting range and background in a scene corresponding to the mobile phone, so that the wall background, the furniture color, the character skin color and the clothes color characteristic corresponding to the shooting angle are accurately obtained.
4. The method of claim 1, wherein the inputting into the pre-trained optimal light color brightness model according to the color feature and the light feature comprises:
training an optimal lighting color and brightness model by acquiring lighting brightness and lighting color set by a professional photographer in a photo studio each time as training data and taking an optimal topN photo after photographing as a labeling result; and judging the difference between the color and brightness characteristics of the current visual angle and the optimal light brightness color characteristics through the trained model.
5. The method of claim 1, wherein the determining the color and brightness of the light to be compensated comprises:
the optimal photographing effect can be achieved only by obtaining the wall background, the furniture color and the character complexion, calculating the illumination degree aiming at the wall surface, the furniture and the complexion according to the current light color, the illumination angle and the illumination brightness and combining a trained optimal light color brightness model to judge the light compensation and the color compensation which should be given to the light and the background based on the current scene.
6. The method according to claim 1, wherein said adjusting the lamp turning direction and/or automatically turning on or off the lamp at a fixed position in the room according to the color and brightness requirements and the distance between the lamp and the user to meet the planned light compensation target mainly comprises:
controlling the lamp tube to turn through a dimmer according to a shooting angle so as to reduce reflection, or enabling light to accurately hit a specific position of a human body to realize light brightness compensation, wherein the specific position of the human body is determined by a required light brightness compensation value;
or when the brightness is insufficient, automatically opening the associated lamp tubes around the photographing place; or when the brightness is excessive, the related lamp tubes around the photographing place are automatically closed, so that the brightness is reduced.
7. The method of claim 1, wherein said detecting the completion action, restoring the original lighting, comprises:
acquiring the action of the user through an indoor infrared sensor, performing similarity matching with a pre-stored action image, and judging whether the photographing action of the user is finished;
and is
Detecting whether a mobile phone photo just taken is not deleted or not through a mobile phone API interface technology, and detecting whether a mobile phone closes a camera shooting mode or not;
and is
Detecting whether the bag is put into the pocket or not through a mobile phone light sensor;
if all three are finished, the user can not continue shooting again, and the light is automatically restored through the dimmer.
8. An indoor photographic light lighting system, the system comprising:
the photographing judging module is used for judging whether the user needs to take a picture or not;
the color background acquisition module is used for acquiring background environment calculation light reflection degree and compensation degree;
the light compensation calculation module is used for calculating a light compensation value based on a machine learning model;
the dimming lamp tube control module is used for adjusting light near a photographing place according to required light compensation and controlling the brightness and color of the lamp tube;
and the light recovery module is used for analyzing whether the user finishes photographing or not and recovering the most initial light.
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112272435A (en) * | 2020-10-14 | 2021-01-26 | 四川长虹网络科技有限责任公司 | Light control system and method for indoor photography |
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| CN114529506A (en) * | 2021-12-31 | 2022-05-24 | 厦门阳光恩耐照明有限公司 | Lamplight monitoring method and system based on machine learning |
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Citations (29)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101969719A (en) * | 2010-09-08 | 2011-02-09 | 无锡中星微电子有限公司 | Intelligent lamplight control system and control method thereof |
| CN102946514A (en) * | 2012-11-08 | 2013-02-27 | 广东欧珀移动通信有限公司 | Method and device for self-shooting of mobile terminal |
| US20140265868A1 (en) * | 2013-03-15 | 2014-09-18 | Lsi Industries, Inc | Lighting Calibration for Intensity and Color |
| CN104267933A (en) * | 2014-08-21 | 2015-01-07 | 深圳市金立通信设备有限公司 | Flashlight adjusting method |
| CN104468912A (en) * | 2014-12-08 | 2015-03-25 | 上海斐讯数据通信技术有限公司 | Method for controlling luminance of screen of mobile terminal and display terminal |
| CN105516593A (en) * | 2015-12-17 | 2016-04-20 | 上海斐讯数据通信技术有限公司 | Shooting apparatus and shooting light supplement adjustment method and system therefor |
| US20170050561A1 (en) * | 2015-08-21 | 2017-02-23 | Honda Motor Co., Ltd. | Personalized ambient lighting |
| CN106470336A (en) * | 2015-08-17 | 2017-03-01 | 深圳富泰宏精密工业有限公司 | Camera color temperature compensating system and intelligent terminal |
| CN106686304A (en) * | 2016-12-09 | 2017-05-17 | 深圳市金立通信设备有限公司 | Photographing control method and terminal |
| CN106791468A (en) * | 2016-12-28 | 2017-05-31 | 深圳天珑无线科技有限公司 | A kind of mobile terminal and its shooting light compensation method |
| CN107588777A (en) * | 2017-09-27 | 2018-01-16 | 京东方科技集团股份有限公司 | Indoor locating system |
| CN107885090A (en) * | 2017-11-07 | 2018-04-06 | 佛山市云米电器科技有限公司 | To the food image shooting environmental adjusting means and method in pan |
| US20180110106A1 (en) * | 2013-10-07 | 2018-04-19 | Google Llc | Smart device with integrated conditional lighting |
| CN108012389A (en) * | 2017-10-27 | 2018-05-08 | 深圳和而泰智能控制股份有限公司 | Light adjusting method, terminal device and computer-readable recording medium |
| CN108111776A (en) * | 2018-02-13 | 2018-06-01 | 广东欧珀移动通信有限公司 | Self-timer light supplement method and device, mobile terminal and computer readable storage medium |
| CN108184012A (en) * | 2017-12-14 | 2018-06-19 | 赣州欧唯科技有限公司 | A kind of method and device for assisting self-timer |
| CN108307125A (en) * | 2018-02-08 | 2018-07-20 | 腾讯科技（深圳）有限公司 | A kind of image-pickup method, device and storage medium |
| CN108683795A (en) * | 2018-03-30 | 2018-10-19 | 中兴通讯股份有限公司 | Mobile terminal and its control method and computer readable storage medium |
| CN108738215A (en) * | 2018-06-05 | 2018-11-02 | 信利光电股份有限公司 | A kind of automatic adjustment desk lamp technical parameter method, apparatus and desk lamp |
| CN108811271A (en) * | 2018-04-28 | 2018-11-13 | 上海与德科技有限公司 | A kind of light adjusting method, device, intelligent desk lamp and storage medium |
| CN208332120U (en) * | 2018-06-26 | 2019-01-04 | 陈永佳 | Film studio |
| CN109882761A (en) * | 2017-12-06 | 2019-06-14 | 爱玛丽欧股份有限公司 | Illumination lamp for automatic control and tracking using image recognition and control method thereof |
| CN110012572A (en) * | 2019-03-25 | 2019-07-12 | 联想(北京)有限公司 | A kind of brightness control method and device, equipment, storage medium |
| CN110086916A (en) * | 2019-05-27 | 2019-08-02 | 维沃移动通信（杭州）有限公司 | Photographic method and terminal |
| CN110248450A (en) * | 2019-04-30 | 2019-09-17 | 广州富港万嘉智能科技有限公司 | A kind of combination personage carries out the method and device of signal light control |
| CN110769164A (en) * | 2019-11-21 | 2020-02-07 | 天津九安医疗电子股份有限公司 | Method for automatically adjusting lighting level of target scene and intelligent lighting control system |
| CN110855900A (en) * | 2019-11-20 | 2020-02-28 | 何建军 | Photographing control method and system based on external flash light source and storage medium |
| CN111065179A (en) * | 2019-12-31 | 2020-04-24 | 广东道易鑫物联网科技有限公司 | Control method of remote intelligent adjustment LED light supplement lamp system |
| CN111182228A (en) * | 2019-12-06 | 2020-05-19 | 广东小天才科技有限公司 | A kind of fill light control method and smart speaker |
-
2020
- 2020-06-23 CN CN202010577268.7A patent/CN111698409A/en not_active Withdrawn
Patent Citations (29)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101969719A (en) * | 2010-09-08 | 2011-02-09 | 无锡中星微电子有限公司 | Intelligent lamplight control system and control method thereof |
| CN102946514A (en) * | 2012-11-08 | 2013-02-27 | 广东欧珀移动通信有限公司 | Method and device for self-shooting of mobile terminal |
| US20140265868A1 (en) * | 2013-03-15 | 2014-09-18 | Lsi Industries, Inc | Lighting Calibration for Intensity and Color |
| US20180110106A1 (en) * | 2013-10-07 | 2018-04-19 | Google Llc | Smart device with integrated conditional lighting |
| CN104267933A (en) * | 2014-08-21 | 2015-01-07 | 深圳市金立通信设备有限公司 | Flashlight adjusting method |
| CN104468912A (en) * | 2014-12-08 | 2015-03-25 | 上海斐讯数据通信技术有限公司 | Method for controlling luminance of screen of mobile terminal and display terminal |
| CN106470336A (en) * | 2015-08-17 | 2017-03-01 | 深圳富泰宏精密工业有限公司 | Camera color temperature compensating system and intelligent terminal |
| US20170050561A1 (en) * | 2015-08-21 | 2017-02-23 | Honda Motor Co., Ltd. | Personalized ambient lighting |
| CN105516593A (en) * | 2015-12-17 | 2016-04-20 | 上海斐讯数据通信技术有限公司 | Shooting apparatus and shooting light supplement adjustment method and system therefor |
| CN106686304A (en) * | 2016-12-09 | 2017-05-17 | 深圳市金立通信设备有限公司 | Photographing control method and terminal |
| CN106791468A (en) * | 2016-12-28 | 2017-05-31 | 深圳天珑无线科技有限公司 | A kind of mobile terminal and its shooting light compensation method |
| CN107588777A (en) * | 2017-09-27 | 2018-01-16 | 京东方科技集团股份有限公司 | Indoor locating system |
| CN108012389A (en) * | 2017-10-27 | 2018-05-08 | 深圳和而泰智能控制股份有限公司 | Light adjusting method, terminal device and computer-readable recording medium |
| CN107885090A (en) * | 2017-11-07 | 2018-04-06 | 佛山市云米电器科技有限公司 | To the food image shooting environmental adjusting means and method in pan |
| CN109882761A (en) * | 2017-12-06 | 2019-06-14 | 爱玛丽欧股份有限公司 | Illumination lamp for automatic control and tracking using image recognition and control method thereof |
| CN108184012A (en) * | 2017-12-14 | 2018-06-19 | 赣州欧唯科技有限公司 | A kind of method and device for assisting self-timer |
| CN108307125A (en) * | 2018-02-08 | 2018-07-20 | 腾讯科技（深圳）有限公司 | A kind of image-pickup method, device and storage medium |
| CN108111776A (en) * | 2018-02-13 | 2018-06-01 | 广东欧珀移动通信有限公司 | Self-timer light supplement method and device, mobile terminal and computer readable storage medium |
| CN108683795A (en) * | 2018-03-30 | 2018-10-19 | 中兴通讯股份有限公司 | Mobile terminal and its control method and computer readable storage medium |
| CN108811271A (en) * | 2018-04-28 | 2018-11-13 | 上海与德科技有限公司 | A kind of light adjusting method, device, intelligent desk lamp and storage medium |
| CN108738215A (en) * | 2018-06-05 | 2018-11-02 | 信利光电股份有限公司 | A kind of automatic adjustment desk lamp technical parameter method, apparatus and desk lamp |
| CN208332120U (en) * | 2018-06-26 | 2019-01-04 | 陈永佳 | Film studio |
| CN110012572A (en) * | 2019-03-25 | 2019-07-12 | 联想(北京)有限公司 | A kind of brightness control method and device, equipment, storage medium |
| CN110248450A (en) * | 2019-04-30 | 2019-09-17 | 广州富港万嘉智能科技有限公司 | A kind of combination personage carries out the method and device of signal light control |
| CN110086916A (en) * | 2019-05-27 | 2019-08-02 | 维沃移动通信（杭州）有限公司 | Photographic method and terminal |
| CN110855900A (en) * | 2019-11-20 | 2020-02-28 | 何建军 | Photographing control method and system based on external flash light source and storage medium |
| CN110769164A (en) * | 2019-11-21 | 2020-02-07 | 天津九安医疗电子股份有限公司 | Method for automatically adjusting lighting level of target scene and intelligent lighting control system |
| CN111182228A (en) * | 2019-12-06 | 2020-05-19 | 广东小天才科技有限公司 | A kind of fill light control method and smart speaker |
| CN111065179A (en) * | 2019-12-31 | 2020-04-24 | 广东道易鑫物联网科技有限公司 | Control method of remote intelligent adjustment LED light supplement lamp system |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112272435A (en) * | 2020-10-14 | 2021-01-26 | 四川长虹网络科技有限责任公司 | Light control system and method for indoor photography |
| CN112272435B (en) * | 2020-10-14 | 2023-03-14 | 四川长虹网络科技有限责任公司 | Light control system and method for indoor photography |
| CN112462621A (en) * | 2020-11-30 | 2021-03-09 | 严彩芬 | Intelligent household light compensation method and system based on monitoring equipment |
| CN112533340A (en) * | 2020-12-01 | 2021-03-19 | 南京苏美达智能技术有限公司 | Light control method of self-walking equipment and self-walking equipment |
| CN112869499A (en) * | 2021-01-19 | 2021-06-01 | 怀化学院 | Dress designing sample display device |
| CN112906529A (en) * | 2021-02-05 | 2021-06-04 | 深圳前海微众银行股份有限公司 | Face recognition light supplementing method and device, face recognition equipment and face recognition system |
| CN112906529B (en) * | 2021-02-05 | 2024-06-04 | 深圳前海微众银行股份有限公司 | Face recognition light supplementing method, device, face recognition equipment and system thereof |
| CN114529506A (en) * | 2021-12-31 | 2022-05-24 | 厦门阳光恩耐照明有限公司 | Lamplight monitoring method and system based on machine learning |
| CN115052396A (en) * | 2022-07-04 | 2022-09-13 | 上海环东光电科技股份有限公司 | Lamp dimming system capable of identifying automobile color |
| CN115767277A (en) * | 2022-09-21 | 2023-03-07 | 盐城众拓视觉创意有限公司 | Multi-view vision-based light supplementing method for green box shooting |
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Application publication date: 20200922 |