Optimizing a Triangular Mesh for Shape Reconstruction from Images(<Special Section>Image Recognition and Understanding)
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概要
- 論文の詳細を見る
In reconstructing 3-D from images based on feature points, one usually defines a triangular mesh that has these feature points as vertices and displays the scene as a polyhedron. If the scene itself is a polyhedron, however, some of the displayed edges may be inconsistent with the true shape. This paper presents a new technique for automatically eliminating such inconsistencies by using a special template. We also present a technique for removing spurious occluding edges. All the procedures do not require any thresholds to be adjusted. Using real images, we demonstrate that our method has high capability to correct inconsistencies.
- 社団法人電子情報通信学会の論文
- 2005-10-01
著者
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KANATANI Kenichi
Department of Computer Science, Okayama University
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Sugaya Yasuyuki
Department Of Computer Science And Engineering Toyohashi University Of Technology
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NAKATSUJI Atsutada
Internet Terminal Division, NEC Engineering, Ltd.
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Kanatani Kenichi
Department Of Computer Science Gunma University
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Nakatsuji Atsutada
Internet Terminal Division Nec Engineering Ltd.
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