Extending Interrupted Feature Point Tracking for 3-D Affine Reconstruction(Image Recognition, Computer Vision)
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概要
- 論文の詳細を見る
Feature point tracking over a video sequence fails when the points go out of the field of view or behind other objects. In this paper, we extend such interrupted tracking by imposing the constraint that under the affine camera model all feature trajectories should be in an affine space. Our method consists of iterations for optimally extending the trajectories and for optimally estimating the affine space, coupled with an outlier removal process. Using real video images, we demonstrate that our method can restore a sufficient number of trajectories for detailed 3-D reconstruction.
- 社団法人電子情報通信学会の論文
- 2004-04-01
著者
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KANATANI Kenichi
Department of Computer Science, Okayama University
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Sugaya Yasuyuki
Department Of Information Technology Okayama University
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Sugaya Yasuyuki
Department Of Computer Science And Engineering Toyohashi University Of Technology
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Kanatani Kenichi
Department Of Computer Science Gunma University
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Kanatani Kenichi
Department Of Information Technology Okayama University
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