NDLI: Non-rigid structure from motion via sparse representation

Content Provider	IEEE Xplore Digital Library
Author	Kun Li Jingyu Yang Jianmin Jiang
Copyright Year	2014
Description	Author affiliation: Sch. of Electron. Inf. Eng., Tianjin Univ., Tianjin, China (Jingyu Yang) \|\| Sch. of Comput. Sci. & Software Eng., Shenzhen Univ., Shenzhen, China (Jianmin Jiang) \|\| Tianjin Key Lab. of Cognitive Comput. & Applic., Tianjin Univ., Tianjin, China (Kun Li)
Abstract	This paper proposes a new approach for non-rigid structure from motion with occlusion, based on sparse representation. We introduce sparse transform to the joint estimation of 3D shapes and motions. 3D shape trajectory space is fit by wavelet basis to achieve better modeling of complex motion. We address the occlusion problem based on the latest developments on sparse representation: matrix completion, which can recover the observation matrix that has high percentages of missing data and can also reduce the noises and outliers in the known elements. Experimental results on datasets without and with occlusion show that our method can better estimate the 3D shapes and motions, compared with state-of-the-art algorithms.
Starting Page	1
Ending Page	6
File Size	1412837
Page Count	6
File Format	PDF
ISBN	9781479947614
DOI	10.1109/ICME.2014.6890160
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-07-14
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Shape Three-dimensional displays Trajectory Cameras Sparse matrices Noise Transforms matrix completion Non-rigid structure from motion occlusion sparse representation wavelet basis
Content Type	Text
Resource Type	Article

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