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Learning and recognizing 3D objects by using partial planar curve matching method

  • Poster Session I
  • Conference paper
  • First Online:
Computer Vision — ACCV'98 (ACCV 1998)

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

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Abstract

A scheme for learning and recognizing 3D objects from their 2D views is presented. The scheme proceeds in two stages. In the first stage, we try to learn a model automatically from 2D training images of different objects which have similar shape of components and similar adjacency relation between the components. In the second stage, the generated model is used to recognize the learned object. We use partial planar curve matching method to implement our scheme. We tested the approach on recognizing objects from images of complex real scenes and got satisfactory results.

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Author information

Authors and Affiliations

  1. Graduate School of Science and Engineering, Shizuoka University, Japan

    Jin Jia

  2. Dept. of Computer Science, Shizuoka University, Japan

    Keiichi Abe

Authors
  1. Jin Jia
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  2. Keiichi Abe
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Editor information

Roland Chin Ting-Chuen Pong

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© 1997 Springer-Verlag Berlin Heidelberg

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Jia, J., Abe, K. (1997). Learning and recognizing 3D objects by using partial planar curve matching method. 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_153

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  • DOI: https://doi.org/10.1007/3-540-63930-6_153

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63930-5

  • Online ISBN: 978-3-540-69669-8

  • eBook Packages: Springer Book Archive

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