Automatic Feature Extraction of Pose-measuring System based on Geometric Invariants
Yan Lin1, Kong Bin, Zheng Fei
1Center for Biomimetic Sensing and Control Research, Institute of Intelligent Machines, Chinese Academy of Sciences
Available Online October 2007.
- 10.2991/iske.2007.172How to use a DOI?
- geometric invariant, perspective invariant, feature extraction, pose-measuring system
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.
- © 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/).
Cite this article
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 -