AN OPTIMIZATION METHOD FOR FREE VIEW-POINT IMAGE GENERATION USING RAY-SPACE(International Workshop on Advanced Image Technology 2007)

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Ray-Space can render a photo-realistic novel image. We propose a method of synthesizing arbitrary view-point images based on the Ray-space method. Ray-Space require flood of rays, thus we cannot acquire full rays information, even if we use camera array which is device of capturing Ray-space and has over 100 cameras. Therefore, ray inter-polation is needed. The key point of ray interpolation is to estimate a view dependent disparity map. The view dependent disparity map represents local geometric relationship between the nearest neighborhood cameras. The block matching is simple method to compute this disparity map. This method, however, is too weak to create the high quality image. Thus, we propose a novel optimization method for this problem. This method balance a data matching term with a regularization term on disparities of neighborhood pixels in brief. The Proposed method is consist three part; to perform dynamic programming optimization method, to normalize dynamic programming result by using inverse direction dynamic programming, to collect up normalized results with virtual directional dynamic programming. We perform improved dynamic programming optimization for generation sharp image. Basic idea of this is multi-passed dynamic programming method. As an experimental result, we can acquire clear object depth in real-time. And then, we succeeded to obtain a arbitrary viewpoint image with highly image quality.
社団法人電子情報通信学会の論文
2007-01-03

AN OPTIMIZATION METHOD FOR FREE VIEW-POINT IMAGE GENERATION USING RAY-SPACE(International Workshop on Advanced Image Technology 2007)

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