Uncalibrated Factorization Using a Variable Symmetric Affine Camera(Image Recognition, Computer Vision)
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概要
- 論文の詳細を見る
In order to reconstruct 3-D Euclidean shape by the Tomasi-Kanade factorization, one needs to specify an affine camera model such as orthographic, weak perspective, and paraperspective. We present a new method that does not require any such specific models. We show that a minimal requirement for an affine camera to mimic perspective projection leads to a unique camera model, called symmetric affine camera, which has two free functions. We determine their values from input images by linear computation and demonstrate by experiments that an appropriate camera model is automatically selected.
- 社団法人電子情報通信学会の論文
- 2007-05-01
著者
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KANATANI Kenichi
Department of Computer Science, Okayama University
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Ackermann Hanno
Department Of Computer Science Okayama University
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Sugaya Yasuyuki
Department Of Information And Computer Sciences Toyohashi University Of Technology
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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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