映像情報メディア学会誌
Online ISSN : 1881-6908
Print ISSN : 1342-6907
ISSN-L : 1342-6907
論文
重み付きクロスバイラテラルフィルタによる奥行き推定精度の向上
松尾 琢也福嶋 慶繁石橋 豊
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2012 年 66 巻 11 号 p. J434-J443

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In this paper, we propose a refinement filter for depth maps. The filter convolutes an image and a depth map with a cross-computed kernel. We call the filter a weighted cross bilateral filter. The main advantages of the proposed method are the filter fits outlines of objects in the depth map to silhouettes in the image, while the filter reduces Gaussian noise in other areas. Additionally, its computational cost is independent of depth ranges. Thus, we can obtain accurate depth maps at the lower cost than the conventional approaches, which require Markov random field-based optimization methods. Experimental results show that the accuracy of the depth map in edge areas goes up and its running time is low.

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© 2012 一般社団法人 映像情報メディア学会
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