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Contour matching technique for 3D object recognition using Kalman filter

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Computer Vision — ACCV'98 (ACCV 1998)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1351))

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Abstract

This paper presents a contour matching technique using the Kalman filter for the identification of an object model corresponding to an observed object from a list of object models from range data. There are three types of edge data associated with the object and the models. These data are utilized in a hierarchical fashion each time employing one type of edge data for pruning the models while matching. The matching uses quaternions to represent rotation in 3D space and is more suitable for the recognition of objects symmetric about an axis of rotation. The results are illustrated through simulated examples.

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Roland Chin Ting-Chuen Pong

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© 1997 Springer-Verlag Berlin Heidelberg

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Hanmandlu, M., Shantaram, V. (1997). Contour matching technique for 3D object recognition using Kalman filter. In: Chin, R., Pong, TC. (eds) Computer Vision — ACCV'98. ACCV 1998. Lecture Notes in Computer Science, vol 1351. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63930-6_154

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  • DOI: https://doi.org/10.1007/3-540-63930-6_154

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63930-5

  • Online ISBN: 978-3-540-69669-8

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