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| Transductive Co-segmentation of Multi-view Images |
| Zhu Yun-feng Zhang Yun-jin |
(Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing 100084, China)
(Department of Electronic Engineering, Tsinghua University, Beijing 100084, China) |
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Abstract Fast and efficient segmentation of rigid or stable object in multi-view images is still a unsolved problem. In this paper, the problem is formulated and the relationships between it and traditional min-cut based segmentation problems are also deduced with Graph representation. To minimize the energy function, a novel algorithm named Interactive Transductive Co-Segmentation (ITC-Seg) is proposed. In ITC-Seg, the function is divided into two sub problems which are solved with graph cuts and spectral segmentation methods. Moreover, propagation, filter, voting methods are introduced into the iteration between multi-view images segmentation and qusi-sparse 3D points segmentation, they are used to combine the sub problems with a global label consistent constrains. Finally, the experiments in several images show the error rate of ITC-Seg is 3.4%, discussions and future improvements of the method are also given.
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Received: 09 August 2010
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Corresponding Authors:
Zhu Yun-feng
E-mail: zhu-yf06@mails.tsinghua.edu.cn
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2011, Vol. 33 
