New Algorithm for Determining Object Attitude Based on Trapezoid Feature

Authors:
Lijuan Qin;Yulan Hu;Yingzi Wei;Hong Wang;Yue Zhou
Affiliations:
School of Information Science and Engineering, Shenyang Ligong University, Shenyang, Liaoning, China;School of Information Science and Engineering, Shenyang Ligong University, Shenyang, Liaoning, China;School of Information Science and Engineering, Shenyang Ligong University, Shenyang, Liaoning, China;School of Information Science and Engineering, Shenyang Ligong University, Shenyang, Liaoning, China;School of Information Science and Engineering, Shenyang Ligong University, Shenyang, Liaoning, China
Venue:
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Theoretical and Methodological Issues
Year:
2008

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Abstract

Trapezoid is one feature which is widely presented in natural environments. In this paper, we propose a new pose estimation method based on trapezoid. The algorithm is simple to solve. It has good real-time characteristic. Furthermore, there exists unique solution for object pose from rectangle to locate. Thus, it has good practical value in application. At last, simulation results show this method is reasonable and has good real-time characteristic.