GPU-Based background illumination correction for blue screen matting

European Signal Processing Conference(2007)

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摘要
Separation of foreground objects from an almost constant backing color for video applications is still a common problem ([1],[2]). For non-realtime situations there is a wide variety of different powerful mathematical approaches that can deal with most of the matting problems. For SD/HD studio realtime keyers most solutions are not applicable due to their algorithm complexity or high effort in user interaction. Excellent hardware keyers, such as UltimatteTM work on most occasions, but even under controlled lighting in a blue-/greenscreen matting problems may occur, or creativity is limited by necessary lighting conditions. As a preprocessing algorithm for traditional chroma keying systems, we present a simple background illumination correction based approach for improving matting problems with uneven or poor lit blue-/greenscreens. Using the computational power of GPU computing (GPGPU [3]) the presented algorithm is realtime capable and offers an improvement for achievable mattes quality.
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关键词
graphics processing units,image colour analysis,mathematical analysis,object detection,video signal processing,gpu based background illumination correction,sd/hd studio realtime keyers,ultimattetm,algorithm complexity,blue screen matting,blue-/greenscreen matting problems,chroma keying systems,constant backing color,foreground objects,hardware keyers,mathematical approaches,matting problems,user interaction,video applications,kernel,lighting,estimation,production
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