MOTION SEGMENTATION BY SUBSPACE SEPARATION: MODEL SELECTION AND RELIABILITY EVALUATION
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- KENICHI KANATANI
- Department of Information Technology, Okayama University, Okayama 700-8530, Japan
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説明
<jats:p> Reformulating the Costeira–Kanade algorithm as a pure mathematical theorem, we present a robust segmentation procedure, which we call subspace separation, by incorporating model selection using the geometric AIC. We then study the problem of estimating the number of independent motions using model selection. Finally, we present criteria for evaluating the reliability of individual segmentation results. Again, model selection plays an important role. We confirm the effectiveness of our method by experiments using synthetic and real images. </jats:p>
収録刊行物
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- International Journal of Image and Graphics
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International Journal of Image and Graphics 02 (02), 179-197, 2002-04
World Scientific Pub Co Pte Lt
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詳細情報 詳細情報について
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- CRID
- 1363388845168538624
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- NII論文ID
- 30021765239
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- ISSN
- 17936756
- 02194678
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- データソース種別
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