Automatic Feature Extraction of Pose-measuring System based on Geometric Invariants

DOI

10.2991/iske.2007.172How to use a DOI?

Keywords

geometric invariant, perspective invariant, feature extraction, pose-measuring system

Abstract

This paper proposes a method for extracting features of target object automatically in a pose-measuring system. A tag stuck to the target object is designed to make the system more robust and precise. First, detect all the corners of an image. Then, geometric invariants, which are formed by several invariants of four collinear points, are used to distinguished corners of the tag from all the corners. To alleviate the computational complexity, polar coordinate system is introduced for searching collinear points. Experimental results show that this method can extract features of the target automatically, rapidly and exactly under different viewpoints.

Copyright

© 2007, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yan Lin
AU  - Kong Bin
AU  - Zheng Fei
PY  - 2007/10
DA  - 2007/10
TI  - Automatic Feature Extraction of Pose-measuring System based on Geometric Invariants
BT  - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
PB  - Atlantis Press
SP  - 1014
EP  - 1019
SN  - 1951-6851
UR  - https://doi.org/10.2991/iske.2007.172
DO  - 10.2991/iske.2007.172
ID  - Lin2007/10
ER  -