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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5226))

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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.

Supported by National High Technology Research and Development Program of China under grant No. 2003AA411340.

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© 2008 Springer-Verlag Berlin Heidelberg

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Qin, L., Hu, Y., Wei, Y., Wang, H., Zhou, Y. (2008). New Algorithm for Determining Object Attitude Based on Trapezoid Feature. In: Huang, DS., Wunsch, D.C., Levine, D.S., Jo, KH. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues. ICIC 2008. Lecture Notes in Computer Science, vol 5226. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87442-3_51

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  • DOI: https://doi.org/10.1007/978-3-540-87442-3_51

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-87440-9

  • Online ISBN: 978-3-540-87442-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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