Range image registration using multiresolution decomposition

Toshiyuki Uto, Masahiro Okuda, Masaaki Ikehara, Shin Ichi Takahashit

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    This paper describes fast registration approaches of range images based on their multiresolution representations. In the Iterative Closest Point algorithm, which is a popular technique to register sets of 3D points, the computational complexity depends largely on the number of points representing range image. Therefore, we accelerate a range image registration by applying shape-adaptive discrete wavelet transform to range images and efficiently reducing the number of data points. In addition, we present a fast and accurate registration method, which finds the closest point to a given point hierarchically in consideration of the wavelet decomposition. Finally, we apply these techniques to the registration of actual range images and show the validity of the proposed approaches.

    Original languageEnglish
    Title of host publication2004 IEEE 6th Workshop on Multimedia Signal Processing
    Pages235-238
    Number of pages4
    Publication statusPublished - 2004 Dec 1
    Event2004 IEEE 6th Workshop on Multimedia Signal Processing - Siena, Italy
    Duration: 2004 Sep 292004 Oct 1

    Publication series

    Name2004 IEEE 6th Workshop on Multimedia Signal Processing

    Other

    Other2004 IEEE 6th Workshop on Multimedia Signal Processing
    CountryItaly
    CitySiena
    Period04/9/2904/10/1

    ASJC Scopus subject areas

    • Signal Processing
    • Engineering(all)

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  • Cite this

    Uto, T., Okuda, M., Ikehara, M., & Takahashit, S. I. (2004). Range image registration using multiresolution decomposition. In 2004 IEEE 6th Workshop on Multimedia Signal Processing (pp. 235-238). (2004 IEEE 6th Workshop on Multimedia Signal Processing).