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	Depth from motion using critical point filters with unconstraint camera motion
	Zhang, Yixiong ; Deng, Binyou ; Tang, Jun ; Tang J(唐军)
	2013
关键词	Image compression Image matching Motion estimation Pixels
英文摘要	Conference Name:2013 20th IEEE International Conference on Image Processing, ICIP 2013. Conference Address: Melbourne, VIC, Australia. Time:September 15, 2013 - September 18, 2013.; The Institute of Electrical and Electronics Engineers (IEEE) Signal Processing Society; Depth estimation is a crucial step for 2D/3D conversion from monoscopic video. In this paper, a novel method for depth estimation from motion with camera motion is proposed. In the proposed method, image matching using critical point filters is applied to extract the pixel-level motion field for each frame. As camera motion can bring pseudo motion vectors by image matching, and thus leading to depth ambiguity. To solve this problem, we propose to estimate the camera moving model using robust RANSAC algorithm. Then, the initial depth map is estimated by using the motion vectors without camera motion. Finally, the depth values of the pixels at the edges of moving objects are refined using a post filter based on homogeneous points. Experimental results show that the proposed method achieves considerable performances on depth map in presence of camera motion. ? 2013 IEEE.
语种	英语
出处	http://dx.doi.org/10.1109/ICIP.2013.6738461
出版者	IEEE Computer Society
内容类型	其他
源URL	[http://dspace.xmu.edu.cn/handle/2288/85743]
专题	软件学院－会议论文
推荐引用方式 GB/T 7714	Zhang, Yixiong,Deng, Binyou,Tang, Jun,et al. Depth from motion using critical point filters with unconstraint camera motion. 2013-01-01.

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