Renormalization for Motion Analysis: Statistically Optimal Algorithm (Special Issue on Computer Vision)
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概要
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Introducing a general statistical model of image noise, we present an optimal algorithm for computing 3-D motion from two views without involving numerical search: (i) the essential matrix is computed by a scheme called renormalization; (ii) the decomposability condition is optimally imposed on it so that it exactly decomposes into motion parameters; (iii) image feature points are optimally corrected so that they define their -D depths. Our scheme not only produces a statistically optimal solution but also evaluates the reliability of the computed motion parameters and reconstructed points in quantitative terms.
- 社団法人電子情報通信学会の論文
- 1994-11-25
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