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A study on depth up-sampling and refinement
|關鍵字:||depth map;深度圖;up-sampling;上取樣||出版社:||電機工程學系所||引用:|| Z.Lin and Q. Shi, “An anisotropic diffusion PDE for noise reduction and thin edge preservation,” Proc. 10th Int. Conf. Image Analysis and Processing. IEEE Computer Society, pp. 102-107 ,1999  M. J. Black and G. Sapiro, “Edges as outliers: Anisotropic smoothing using local image statistics,” Proc. Scale-Space Theories in Computer Vision, Second International Conference, pp. 259-270 , 1999  M. Elad, “On the origin of the bilateral filter and ways to improve it,” IEEE Trans. Image Process. vol. 11, pp. 1141-1151, 2002  Guofeng Zhang, Jiaya Jia, Tien-Tsin Wong and Hujun Bao, “Consistent depth Recovery from a video sequence,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 31, No. 6, 2009  P.Kauff, N. Atzpadin, C. Fehn, M. Muller, O. Schreer, A.Smolic, and R. 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In this thesis, we develop a method to interpolate the depth and then refine the depth sequence based on maximum apriori probability. The proposed method is composed of two parts: pre-processing and depth refinement. In the pre processing, we align the color images and the depth sequence. In the depth refinement, we enlarge the size of the depth sequence and then refine the depth values. To refine the depth value, we simultaneously consider the color, spatial, and temporal information by using
maximum apriori probability. Experimental results show that the proposed depth refinement method can function well compared with traditional methods such as low-pass filtering and median filtering.
|Appears in Collections:||電機工程學系所|
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