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학술대회 Volume Matting : Object Tracking based Matting Tool
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저자
김재환, 김재헌, 주상현, 최병태, 정일권
발행일
201012
출처
ACM SIGGRAPH Asia 2010, pp.1-1
DOI
https://dx.doi.org/10.1145/1900354.1900401
초록
Digital matting, whose goal is to extract only an interesting foreground component from arbitrary and natural background regions, plays an important role in a variety of areas such as computer vision, graphics and so on. Especially, digital matting has been widely used in film production lately for providing an efficient way of dealing with a complicated composition. However, it is hard to generate a perfect matte from a given image without any prior information because the matting problem is intrinsically ill-posed. This prior information is usually fed by means of a trimap or scribbles. Hence, when extracting foreground objects from any sequent images with the still-image matting method, the works would be definitely laborious and time-consuming. To overcome these problems, video matting of the process of pulling a foreground regions from sequent images has been introduced. For instance, the video matting method proposed by [Chuang et al. 2002] leverages a bayesian technique for image matting and an optical flow algorithm to estimate the trimap flow.
KSP 제안 키워드
Bayesian technique, Computer Vision(CV), Digital matting, Film production, Foreground objects, Ill-posed, Image Matting, Natural background, Optical Flow, Sequent images, Video matting