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A multiresolutional approach to 3D object recognition

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Abstract

A multiresolutional approach is presented for effectively recognizing three-dimensional (3D) objects. The approach is both pose and scale invariant. A multiresolutional model base is constructed, and multiscale edges of the object are detected using the wavelet transform. The minimum alignment between model base and object is realized by the linear mapping scheme.

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Authors and Affiliations

  1. Department of Electrical Engineering, Wright State University, 45435, Dayton, Ohio

    Lang Hong & Jing Cao

  2. Department of Electrical Engineering, University of Houston, 77204, Houston, Texas

    Guanrong Chen

Authors
  1. Lang Hong
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  2. Jing Cao
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  3. Guanrong Chen
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Hong, L., Cao, J. & Chen, G. A multiresolutional approach to 3D object recognition. Circuits Systems and Signal Process 16, 217–239 (1997). https://doi.org/10.1007/BF01183276

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  • DOI: https://doi.org/10.1007/BF01183276

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