CN108683865A - A kind of background replacement system and method for bullet time special efficacy - Google Patents

A kind of background replacement system and method for bullet time special efficacy Download PDF

Info

Publication number
CN108683865A
CN108683865A CN201810372971.7A CN201810372971A CN108683865A CN 108683865 A CN108683865 A CN 108683865A CN 201810372971 A CN201810372971 A CN 201810372971A CN 108683865 A CN108683865 A CN 108683865A
Authority
CN
China
Prior art keywords
image
foreground
bullet time
foreground image
shade
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
CN201810372971.7A
Other languages
Chinese (zh)
Inventor
刘娟
许会
陈捷
张智福
郭玉其
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.)
Changsha Full Image Technology Co Ltd
Original Assignee
Changsha Full Image Technology 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 Changsha Full Image Technology Co Ltd filed Critical Changsha Full Image Technology Co Ltd
Priority to CN201810372971.7A priority Critical patent/CN108683865A/en
Publication of CN108683865A publication Critical patent/CN108683865A/en
Pending legal-status Critical Current

Links

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N5/00Details of television systems
    • H04N5/222Studio circuitry; Studio devices; Studio equipment
    • H04N5/262Studio circuits, e.g. for mixing, switching-over, change of character of image, other special effects ; Cameras specially adapted for the electronic generation of special effects
    • H04N5/272Means for inserting a foreground image in a background image, i.e. inlay, outlay
    • G06T5/70
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/80Camera processing pipelines; Components thereof
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N5/00Details of television systems
    • H04N5/222Studio circuitry; Studio devices; Studio equipment
    • H04N5/262Studio circuits, e.g. for mixing, switching-over, change of character of image, other special effects ; Cameras specially adapted for the electronic generation of special effects
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N5/00Details of television systems
    • H04N5/222Studio circuitry; Studio devices; Studio equipment
    • H04N5/262Studio circuits, e.g. for mixing, switching-over, change of character of image, other special effects ; Cameras specially adapted for the electronic generation of special effects
    • H04N5/265Mixing

Abstract

A kind of background replacement system and method for bullet time special efficacy, wherein system include that green curtain scratches module, are handled the optimum image being originally inputted for scratching nomography using green curtain, to obtain the first foreground image;Shade separation module, for detaching moving object and shade in first foreground image, to obtain the second foreground image;Image synthesis unit, for second foreground image to be merged with default background, cruel image is dazzled in formation, and for bullet time special effect making, the present invention is used for the background replacement system and method for bullet time special efficacy, figure is scratched by using green curtain, and the method being combined is detached with shade, more accurate foreground image is extracted, and the foreground of separation is synthesized in background that is more rich, more extremely dazzling, is used for bullet time special effect making, improve the bullet time dazzles cruel special efficacy, enhances user experience.

Description

A kind of background replacement system and method for bullet time special efficacy
Technical field
The invention belongs to camera work fields, and in particular to a kind of background replacement system and side for bullet time special efficacy Method.
Background technology
" bullet time (Bullet time) " is referred to as " time cutting " or " time freezes ", is a kind of use in electricity In shadow, television advertising or computer game, with computer assisted camera work simulate speed change special efficacy, such as the slow motion of reinforcing, Time is static and other effects.The film that the bullet time produces in Hollywood film company of Warner Brothers《The Matrix》In, it is used for table Existing leading man hides the scene of bullet and well known to the public.
The bullet time has camera array, one camera shooting, scene stillness, CG animations, multimachine position to repeat five kinds of shootings of shooting Pattern.The bullet time is realized with a series of stationary cameras around object.These camera arrays usually by simultaneously or Person's sequence trigger switch shutter.Combine each photograph frame that each camera is shot the vision rotation that can be formed by stationary object Turn effect or super slow motion effect.Its feature is that not only extreme variation is (static or slow to being enough to show in time Under normal circumstances not can it is observed that the phenomenon that), and spatially extreme variation.
To form the visual effect more extremely dazzled, the back of the body of bullet time special efficacy can be enriched by image processing techniques means Scape brings the visual experience of more picture sense.A kind of background alternative of present invention offer and method scratch figure and the moon using green curtain Shadow isolation technics, by video image foreground and background information detach, and by the foreground of separation be synthesized to it is more rich, more extremely dazzle Background in, form magical visual effect.
Existing green curtain scratches nomography, and the flatness and light environment requirement to green curtain background are relatively high, such as light is not Uniformly it be easy to cause that foreground edge is unsmooth, has larger shade etc., green curtain background unevenness to easy to produce noise etc. in foreground.
Accordingly, it is desirable to provide a kind of more effective background replacement method.
Invention content
In the prior art, green curtain scratches nomography, and the flatness and light environment requirement to green curtain background are relatively high, such as light Line is uneven to be easy to cause that foreground edge is unsmooth, has larger shade etc., green curtain background unevenness to easy to produce noise in foreground Deng in order to solve this problem, the present invention provides a kind of background replacement system for bullet time special efficacy, and concrete scheme is such as Under:
A kind of background replacement system for bullet time special efficacy is applied in bullet time manufacturing system, wherein this is System includes:
Green curtain scratches module, is handled the optimum image being originally inputted for scratching nomography using green curtain, to obtain First foreground image;
Shade separation module, for detaching moving object and shade in first foreground image, before obtaining second Scape image;
Image synthesis unit, for merging second foreground image with default background, cruel image is dazzled in formation, for Bullet time special effect making.
Wherein, in above system, the green curtain is scratched in module, and figure is originally inputted for the green curtain FIG pull handle As opening optimum images to choose the N of module selection automatically for the optimum image in bullet time manufacturing system, and the N optimal Image corresponds to the optimum image of the bullet time N number of camera of manufacturing system respectively;
Algorithm used by the green curtain FIG pull handle is trimap methods or deep learning method.
Wherein, in above system, the green curtain is scratched and is additionally provided with denoising mould between module and the shade separation module Block;
The denoising module is used to carry out out operation processing to the first foreground image, or carries out closed operation processing, Huo Zhejin Row opens the combined treatment of operation and closed operation;
The operation of opening to the first foreground image is first to corrode to expand afterwards, to remove the discrete noise in background;
The closed operation to the first foreground image is first to expand to corrode again, with the empty noise in removal foreground.
Wherein, in above system, moving object and the moon in the first foreground image are detached in the shade separation module Shadow need to select effective moving object shade separation algorithm according to different application scenarios.
Wherein, in above system, described image synthesis module uses progressive integration technology, according to mask images by Two foreground images are merged with default background image, and are smoothed, so that mistake at cruel image boundary is dazzled in synthesis Cross nature;
Synthesize obtain dazzle cruel image, as the input picture of the image processing module in bullet time manufacturing system, Image processing module carries out the stabilization processing of brightness uniformity adjustment, aberration consistency adjustment and image, and then generates bullet Time special efficacy.
In the background replacement system for bullet time special efficacy of the present invention, is scratched using green curtain and scheme to detach with shade to be combined Method, extract more accurate foreground image, and the foreground of separation is synthesized in background that is more rich, more extremely dazzling, be used for Bullet time special effect making, improve the bullet time dazzles cruel special efficacy, enhances user experience.
According to another aspect of the present invention, the present invention also provides a kind of background replacement sides for bullet time special efficacy Method specifically comprises the following steps:
Step S1, it is based on optimum image and carries out green curtain FIG pull handle, to obtain the first foreground image;
Step S2, moving object and the shade in first foreground image are detached, to obtain the second foreground image;
Step S3, second foreground image is merged with default background, cruel image is dazzled in formation, for bullet time spy Effect makes.
Wherein, in the above-mentioned methods, green curtain FIG pull handle is carried out based on optimum image in the step S1, to obtain first Foreground image specifically includes:
Original input picture for green curtain FIG pull handle is automatic for the optimum image in bullet time manufacturing system The N optimum images that module is chosen are chosen, and the N optimum images correspond to the bullet time N number of camera of manufacturing system most respectively Excellent image;
Algorithm used by green curtain FIG pull handle is trimap methods or deep learning method.
Wherein, in the above-mentioned methods, following steps are additionally provided between the step S1 and step S2:
Operation processing is carried out out to the first foreground image, or carries out closed operation processing, or carries out out operation and closed operation Combined treatment;
The operation of opening to the first foreground image is first to corrode to expand afterwards, to remove the discrete noise in background;
The closed operation to the first foreground image is first to expand to corrode again, with the empty noise in removal foreground.
Wherein, in the above-mentioned methods, moving object and the shade in first foreground image are detached in the step S2, It is specifically included with obtaining the second foreground image:
Detaching moving object and shade in the first foreground image need to select effectively to transport according to different application scenarios Animal body shade separation algorithm.
Wherein, in the above-mentioned methods, second foreground image is merged with default background in the step S3, formation is dazzled Cruel image specifically includes for bullet time special effect making:
Using progressive integration technology, the second foreground image is merged with default background image according to mask images, and It is smoothed, so that transition nature at cruel image boundary is dazzled in synthesis;
Synthesize obtain dazzle cruel image, as the input picture of the image processing module in bullet time manufacturing system, Image processing module carries out the stabilization processing of brightness uniformity adjustment, aberration consistency adjustment and image, and then generates bullet Time special efficacy.
In the background replacement method for bullet time special efficacy of the present invention, is scratched using green curtain and scheme to detach with shade to be combined Method, extract more accurate foreground image, and the foreground of separation is synthesized in background that is more rich, more extremely dazzling, be used for Bullet time special effect making, improve the bullet time dazzles cruel special efficacy, enhances user experience.
Description of the drawings
Fig. 1 is the background replacement system structural schematic diagram for bullet time special efficacy that an embodiment of the present invention provides;
Fig. 2 is the background replacement method flow chart for bullet time special efficacy that second embodiment of the invention provides.
Specific implementation mode
In order to make the objectives, technical solutions and advantages of the present invention clearer, With reference to embodiment and join According to attached drawing, the present invention is described in more detail.It should be understood that these descriptions are merely illustrative, and it is not intended to limit this hair Bright range.In addition, in the following description, descriptions of well-known structures and technologies are omitted, to avoid this is unnecessarily obscured The concept of invention.
The bullet time has camera array, one camera shooting, scene stillness, CG animations, multimachine position to repeat five kinds of shootings of shooting Pattern.The bullet time is realized with a series of stationary cameras around object.These camera arrays usually by simultaneously or Person's sequence trigger switch shutter.Combine each photograph frame that each camera is shot the vision rotation that can be formed by stationary object Turn effect or super slow motion effect.Its feature is that not only extreme variation is (static or slow to being enough to show in time Under normal circumstances not can it is observed that the phenomenon that), and spatially extreme variation.
To form the visual effect more extremely dazzled, the back of the body of bullet time special efficacy can be enriched by image processing techniques means Scape brings the visual experience of more picture sense.A kind of background alternative of present invention offer and method scratch figure and the moon using green curtain Shadow isolation technics, by video image foreground and background information detach, and by the foreground of separation be synthesized to it is more rich, more extremely dazzle Background in, form magical visual effect.
Existing green curtain scratches nomography, and the flatness and light environment requirement to green curtain background are relatively high, such as light is not Uniformly it be easy to cause that foreground edge is unsmooth, has larger shade etc., green curtain background unevenness to easy to produce noise etc. in foreground.
In this case, it is desirable to provide a kind of more effective background replacement method, to improve the vision of bullet time special efficacy Effect, the background replacement system and method for bullet time special efficacy provided by this programme use green curtain and scratch figure and the moon Shadow detaches the method that is combined, can extract out more accurate foreground image, and by the foreground of separation be synthesized to it is more rich, more extremely dazzle Background in, for bullet time special effect making, the bullet time can be improved dazzles cruel special efficacy, enhances user experience.
Provided by the present invention for the background replacement system of bullet time special efficacy, it is applied in bullet time manufacturing system, As shown in Figure 1, specifically including following module:
Green curtain scratches module 11, is handled the optimum image being originally inputted for scratching nomography using green curtain, with To the first foreground image;
Shade separation module 12, for detaching moving object and shade in first foreground image, to obtain second Foreground image;
Image synthesis unit 13 is formed and dazzles cruel image for merging second foreground image with default background, with In bullet time special effect making.
In specific implementation, the green curtain is scratched in module 11, and the original input picture for the green curtain FIG pull handle is Choose N optimum images of module selection, and the N optimum images automatically for the optimum image in bullet time manufacturing system The optimum image of the bullet time N number of camera of manufacturing system is corresponded to respectively;
After getting optimum image, nomography is scratched using green curtain and extracts initial foreground image from original image, for difference The foreground image obtained after different operation subsequently is carried out to image, initial foreground image is defined as the first foreground image;
Algorithm used by the green curtain FIG pull handle is trimap methods or deep learning method.
In specific implementation, the green curtain is scratched and is additionally provided with denoising module between module and the shade separation module, due to The reasons such as light is uneven, green curtain unevenness can so that curtain color light and shade is uneven, and then green curtain is caused to scratch what nomography obtained First foreground image contains discrete noise, it is also possible to the shade of large area is generated, therefore, in shade separation module separation described the Before moving object and shade in one foreground image, denoising module can be further reduced the discrete noise in foreground image;
The denoising module is used to carry out out operation processing to the first foreground image, or carries out closed operation processing, Huo Zhejin Row opens the combined treatment of operation and closed operation;
The operation of opening to the first foreground image is first to corrode to expand afterwards, to remove the discrete noise in background;
The closed operation to the first foreground image is first to expand to corrode again, with the empty noise in removal foreground.
In specific implementation, the moving object and shade that are detached in the shade separation module 12 in first foreground image need root Effective moving object shade separation algorithm is selected according to different application scenarios, during bullet time special effect making, when When illumination or uneven light-illuminating, the region that moving object is blocked can form shade in the picture, therefore, the first foreground picture It may include moving object region and shadow region as in need to be selected according to different application scenarios in practical applications Effective moving object shade separation algorithm.
Such as:When the color attribute of moving object has apparent difference with movement shade, brightness, chromaticity can be used Preferably detach shade;When texture information enriches, textural characteristics can be based on and distinguish moving object and shade;Field can also be used The prior informations such as scape, light source direction and moving target shape establish shadow model, and object pixel and the moon are distinguished according to shadow model Image element, the method are suitable for simple indoor and outdoor scene, are also not limited to the above several method certainly, also can be used other Method carries out moving object and its shade separation.
In specific implementation, described image synthesis module uses progressive integration technology, according to mask images by the second foreground Image is merged with default background image, and is smoothed, so that transition nature at cruel image boundary is dazzled in synthesis;
Synthesize obtain dazzle cruel image, as the input picture of the image processing module in bullet time manufacturing system, Image processing module carries out the stabilization processing of brightness uniformity adjustment, aberration consistency adjustment and image, and then generates bullet Time special efficacy.
In the background replacement system for bullet time special efficacy of the present invention, is scratched using green curtain and scheme to detach with shade to be combined Method, extract more accurate foreground image, and the foreground of separation is synthesized in background that is more rich, more extremely dazzling, be used for Bullet time special effect making, improve the bullet time dazzles cruel special efficacy, enhances user experience.
According to another aspect of the present invention, as shown in Fig. 2, the present invention also provides a kind of for bullet time special efficacy Background replacement method, specifically comprises the following steps:
Step S1, it is based on optimum image and carries out green curtain FIG pull handle, to obtain the first foreground image;
Step S2, moving object and the shade in first foreground image are detached, to obtain the second foreground image;
Step S3, second foreground image is merged with default background, cruel image is dazzled in formation, for bullet time spy Effect makes.
In specific implementation, green curtain FIG pull handle is carried out based on optimum image in the step S1, to obtain the first foreground picture As specifically including:
Original input picture for green curtain FIG pull handle is automatic for the optimum image in bullet time manufacturing system The N optimum images that module is chosen are chosen, and the N optimum images correspond to the bullet time N number of camera of manufacturing system most respectively Excellent image;
After getting optimum image, nomography is scratched using green curtain and extracts initial foreground image from original image, for difference The foreground image obtained after different operation subsequently is carried out to image, initial foreground image is defined as the first foreground image;
Algorithm used by green curtain FIG pull handle is trimap methods or deep learning method.
In specific implementation, since light is uneven, can so that curtain color light and shade is uneven due to green curtain unevenness etc., in turn Cause green curtain to scratch the first foreground image that nomography obtains and contains discrete noise, it is also possible to the shade of large area is generated, therefore, Before executing step S2, in order to be further reduced the discrete noise in foreground image, the first foreground image need to be carried out at denoising Reason, following steps are additionally provided between the step S1 and step S2:
Operation processing is carried out out to the first foreground image, or carries out closed operation processing, or carries out out operation and closed operation Combined treatment;
The operation of opening to the first foreground image is first to corrode to expand afterwards, to remove the discrete noise in background;
The closed operation to the first foreground image is first to expand to corrode again, with the empty noise in removal foreground.
In specific implementation, the moving object in first foreground image and shade are detached in the step S2, to obtain Second foreground image specifically includes:
During bullet time special effect making, when illumination or uneven light-illuminating, area that moving object is blocked Domain can form shade in the picture, may include moving object region and shadow region in the first foreground image, in reality therefore In the application of border, the moving object and shade that detach in the first foreground image need to select effectively to transport according to different application scenarios Animal body shade separation algorithm.
Such as:When the color attribute of moving object has apparent difference with movement shade, brightness, chromaticity can be used Preferably detach shade;When texture information enriches, textural characteristics can be based on and distinguish moving object and shade;Field can also be used The prior informations such as scape, light source direction and moving target shape establish shadow model, and object pixel and the moon are distinguished according to shadow model Image element, the method are suitable for simple indoor and outdoor scene, are also not limited to the above several method certainly, also can be used other Method carries out moving object and its shade separation.
In specific implementation, second foreground image to be merged with default background in the step S3, cruel image is dazzled in formation, It is specifically included for bullet time special effect making:
Using progressive integration technology, the second foreground image is merged with default background image according to mask images, and It is smoothed, so that transition nature at cruel image boundary is dazzled in synthesis;
Synthesize obtain dazzle cruel image, as the input picture of the image processing module in bullet time manufacturing system, Image processing module carries out the stabilization processing of brightness uniformity adjustment, aberration consistency adjustment and image, and then generates bullet Time special efficacy.
In the background replacement method for bullet time special efficacy of the present invention, is scratched using green curtain and scheme to detach with shade to be combined Method, extract more accurate foreground image, and the foreground of separation is synthesized in background that is more rich, more extremely dazzling, be used for Bullet time special effect making, improve the bullet time dazzles cruel special efficacy, enhances user experience.
It should be understood that the above-mentioned specific implementation mode of the present invention is used only for exemplary illustration or explains the present invention's Principle, but not to limit the present invention.Therefore, that is done without departing from the spirit and scope of the present invention is any Modification, equivalent replacement, improvement etc., should all be included in the protection scope of the present invention.In addition, appended claims purport of the present invention Covering the whole variations fallen into attached claim scope and boundary or this range and the equivalent form on boundary and is repairing Change example.

Claims (10)

1. a kind of background replacement system for bullet time special efficacy is applied in bullet time manufacturing system, which is characterized in that Including:
Green curtain scratches module, is handled the optimum image being originally inputted for scratching nomography using green curtain, to obtain first Foreground image;
Shade separation module, for detaching moving object and shade in first foreground image, to obtain the second foreground picture Picture;
Image synthesis unit, for merging second foreground image with default background, cruel image is dazzled in formation, for bullet Time special effect making.
2. system according to claim 1, which is characterized in that the green curtain is scratched in module, and figure is scratched for the green curtain The original input picture of processing be chosen automatically for the optimum image in bullet time manufacturing system module selection N it is optimal Image, and the N optimum images correspond to the optimum image of the bullet time N number of camera of manufacturing system respectively;
Algorithm used by the green curtain FIG pull handle is trimap methods or deep learning method.
3. system according to claim 1, which is characterized in that the green curtain scratch module and the shade separation module it Between be additionally provided with denoising module;
The denoising module is used to carry out out operation processing to the first foreground image, or carries out closed operation processing, or is opened The combined treatment of operation and closed operation;
The operation of opening to the first foreground image is first to corrode to expand afterwards, to remove the discrete noise in background;
The closed operation to the first foreground image is first to expand to corrode again, with the empty noise in removal foreground.
4. system according to claim 1, which is characterized in that detached in the first foreground image in the shade separation module Moving object and shade effective moving object shade separation algorithm need to be selected according to different application scenarios.
5. system according to claim 1, which is characterized in that described image synthesis module uses progressive integration technology, The second foreground image is merged with default background image according to mask images, and is smoothed, so that synthesis It is natural to dazzle transition at cruel image boundary;
What synthesis obtained dazzles cruel image, as the input picture of the image processing module in bullet time manufacturing system, image Processing module carries out the stabilization processing of brightness uniformity adjustment, aberration consistency adjustment and image, and then generates the bullet time Special efficacy.
6. a kind of background replacement method for bullet time special efficacy, which is characterized in that include the following steps:
Step S1, it is based on optimum image and carries out green curtain FIG pull handle, to obtain the first foreground image;
Step S2, moving object and the shade in first foreground image are detached, to obtain the second foreground image;
Step S3, second foreground image is merged with default background, cruel image is dazzled in formation, for bullet time special efficacy system Make.
7. according to the method described in claim 6, it is characterized in that, carrying out green curtain based on optimum image in the step S1 scratches figure Processing, is specifically included with obtaining the first foreground image:
Original input picture for green curtain FIG pull handle is to be chosen automatically for the optimum image in bullet time manufacturing system The N optimum images that module is chosen, and the N optimum images correspond to the optimal figure of the bullet time N number of camera of manufacturing system respectively Picture;
Algorithm used by green curtain FIG pull handle is trimap methods or deep learning method.
8. according to the method described in claim 6, it is characterized in that, being additionally provided with following step between the step S1 and step S2 Suddenly:
Operation processing is carried out out to the first foreground image, or carries out closed operation processing, or carries out out the group of operation and closed operation Conjunction is handled;
The operation of opening to the first foreground image is first to corrode to expand afterwards, to remove the discrete noise in background;
The closed operation to the first foreground image is first to expand to corrode again, with the empty noise in removal foreground.
9. according to the method described in claim 6, it is characterized in that, being detached in the step S2 in first foreground image Moving object and shade are specifically included with obtaining the second foreground image:
Effective moving object need to be selected according to different application scenarios by detaching moving object and shade in the first foreground image Body shade separation algorithm.
10. according to the method described in claim 6, it is characterized in that, by second foreground image and in advance in the step S3 If background merges, cruel image is dazzled in formation, is specifically included for bullet time special effect making:
Using progressive integration technology, the second foreground image is merged with default background image according to mask images, and carries out Smoothing processing, so that transition nature at cruel image boundary is dazzled in synthesis;
What synthesis obtained dazzles cruel image, as the input picture of the image processing module in bullet time manufacturing system, image Processing module carries out the stabilization processing of brightness uniformity adjustment, aberration consistency adjustment and image, and then generates the bullet time Special efficacy.
CN201810372971.7A 2018-04-24 2018-04-24 A kind of background replacement system and method for bullet time special efficacy Pending CN108683865A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201810372971.7A CN108683865A (en) 2018-04-24 2018-04-24 A kind of background replacement system and method for bullet time special efficacy

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201810372971.7A CN108683865A (en) 2018-04-24 2018-04-24 A kind of background replacement system and method for bullet time special efficacy

Publications (1)

Publication Number Publication Date
CN108683865A true CN108683865A (en) 2018-10-19

Family

ID=63801318

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201810372971.7A Pending CN108683865A (en) 2018-04-24 2018-04-24 A kind of background replacement system and method for bullet time special efficacy

Country Status (1)

Country Link
CN (1) CN108683865A (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111479036A (en) * 2019-01-24 2020-07-31 上海赢赞数字科技有限公司 Bullet time special effect shooting system and method based on camera
CN112200756A (en) * 2020-10-09 2021-01-08 电子科技大学 Intelligent bullet special effect short video generation method
CN112261245A (en) * 2020-10-27 2021-01-22 苏州光魔方智能数字科技有限公司 VR bullet time shooting interaction system
CN112468728A (en) * 2020-11-27 2021-03-09 努比亚技术有限公司 Video synthesis method, video synthesis equipment and computer-readable storage medium

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104933728A (en) * 2015-07-13 2015-09-23 天津理工大学 Mixed motion target detection method
CN105335985A (en) * 2014-08-01 2016-02-17 深圳中集天达空港设备有限公司 Real-time capture method and system of docking airplane on the basis of machine vision
CN206313885U (en) * 2016-12-27 2017-07-07 湖南子午天地科技文化发展有限公司 A kind of monopod video camera array made for the bullet time
US20170208238A1 (en) * 2016-01-14 2017-07-20 Xiaoyi Technology Co., Ltd. System and method for bullet-time photography
CN107886502A (en) * 2017-10-24 2018-04-06 天津大学 The shadow Detection and removal algorithm of color and gradient synthesis under a kind of complex environment

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105335985A (en) * 2014-08-01 2016-02-17 深圳中集天达空港设备有限公司 Real-time capture method and system of docking airplane on the basis of machine vision
CN104933728A (en) * 2015-07-13 2015-09-23 天津理工大学 Mixed motion target detection method
US20170208238A1 (en) * 2016-01-14 2017-07-20 Xiaoyi Technology Co., Ltd. System and method for bullet-time photography
CN206313885U (en) * 2016-12-27 2017-07-07 湖南子午天地科技文化发展有限公司 A kind of monopod video camera array made for the bullet time
CN107886502A (en) * 2017-10-24 2018-04-06 天津大学 The shadow Detection and removal algorithm of color and gradient synthesis under a kind of complex environment

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
杨卫英等: "《第十三届全国图象图形学学术会议论文集》", 6 November 2006 *

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111479036A (en) * 2019-01-24 2020-07-31 上海赢赞数字科技有限公司 Bullet time special effect shooting system and method based on camera
CN112200756A (en) * 2020-10-09 2021-01-08 电子科技大学 Intelligent bullet special effect short video generation method
CN112261245A (en) * 2020-10-27 2021-01-22 苏州光魔方智能数字科技有限公司 VR bullet time shooting interaction system
CN112468728A (en) * 2020-11-27 2021-03-09 努比亚技术有限公司 Video synthesis method, video synthesis equipment and computer-readable storage medium

Similar Documents

Publication Publication Date Title
CN108683865A (en) A kind of background replacement system and method for bullet time special efficacy
US10477005B2 (en) Portable electronic devices with integrated image/video compositing
CN107493488B (en) Method for intelligently implanting video content based on Faster R-CNN model
CN109191558B (en) Image polishing method and device
CN108257084B (en) Lightweight face automatic makeup method based on mobile terminal
US8761497B2 (en) Removal of shadows from images in a video signal
Baba et al. Shadow removal from a real image based on shadow density
US20110074778A1 (en) Method and system for creating depth and volume in a 2-d planar image
CN106169182B (en) A method of synthesizing several different exposure images
CN105931208B (en) Enhancement algorithm for low-illumination image based on physical model
US11425283B1 (en) Blending real and virtual focus in a virtual display environment
US20070086652A1 (en) Apparatus, medium, and method with facial-image-compensation
CN103955918A (en) Full-automatic fine image matting device and method
Aliaga et al. A virtual restoration stage for real-world objects
WO2020019164A1 (en) Video processing method and device, and computer-readable storage medium
CN112384928A (en) Method and apparatus for performing object illumination manipulation on an image
Lv et al. Low-light image enhancement via deep Retinex decomposition and bilateral learning
Liba et al. Sky optimization: Semantically aware image processing of skies in low-light photography
CN109859303A (en) Rendering method, device, terminal device and the readable storage medium storing program for executing of image
CN114902277A (en) System and method for processing shadows on portrait image frames
CN109949400B (en) Shadow estimation and reconstruction method suitable for AR virtual soft-loading synthesis
CN114140360A (en) Local low-visibility image enhancement method
US8063991B2 (en) Using a region restricted cleanup signal to bridge a signal level mismatch between a blue screen and an adjoining garbage matte
US11798214B2 (en) Enhanced hybrid animation
CN112785504B (en) Day and night image fusion method

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

Application publication date: 20181019

RJ01 Rejection of invention patent application after publication