Invariant Extraction and Segmentation of 3D Objects Using Linear Lie Algebra Models(Regular Section)
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概要
- 論文の詳細を見る
This paper first presents robust algorithms to extract invariants of the linear Lie algebra model from 3D objects. In particular, an extended 3D Hough transform is presented to extract accurate estimates of the normal vectors. The Least square fitting is used to find normal vectors and representation matrices. Then an algorithm of segmentation for 3D objects is shown using the invariants of the linear Lie algebra. Distributions of invariants, both in the invariant space and on the object surface, are used for clustering and edge detection.
- 社団法人電子情報通信学会の論文
- 2002-07-25
著者
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SUZUKI Masaki
Graduate School of Science & Engineering, Tokyo Institute of Technology
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CHAO Jinhui
Dept. of Information and System Engineering, Chuo University
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Chao Jinhui
Department Of Electrical And Electronic Engineering Faculty Of Science And Engineering Chuo Universi
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Suzuki Masaki
Graduate School Of Science And Engineering Course Of Electrical Electronic And Communications Engine
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Suzuki Masaki
Graduate School Of Electrical Engineering And Electronics Kanazawa Institute Of Technology
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