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Three-Dimensional Machine Vision

  • Takeo Kanade

Table of contents

  1. Front Matter
    Pages i-ix
  2. 3-D Sensors

    1. Front Matter
      Pages 1-1
    2. J. L. Mundy, G. B. Porter III
      Pages 3-61
    3. Steven K. Case, Jeffrey A. Jalkio, Richard C. Kim
      Pages 63-95
    4. Martin D. Altschuler, Kyongtae Bae, Bruce R. Altschuler, Jerome T. Dijak, Louis A. Tamburino, Barbara Woolford
      Pages 97-149
    5. Takeo Kanade, Michael Fuhrman
      Pages 151-192
  3. 3-D Feature Extractions

    1. Front Matter
      Pages 193-193
    2. Jean Ponce, Michael Brady
      Pages 195-240
    3. B. C. Vemuri, A. Mitiche, J. K. Aggarwal
      Pages 241-266
  4. 3-D Recognition Algorithms

    1. Front Matter
      Pages 299-299
    2. Masaki Oshima, Yoshiaki Shirai
      Pages 355-397
    3. Robert C. Bolles, Patrice Horaud
      Pages 399-450
    4. W. Eric L. Grimson, Tomás Lozano-Pérez
      Pages 451-510
  5. Systems and Applications

About this book

Keywords

Navigation Triangulation algorithms cognition data acquisition distance machine vision mobile robot object recognition robot robot vision sensing sensor sensors system analysis

Editors and affiliations

  • Takeo Kanade
    • 1
  1. 1.Carnegie Mellon UniversityUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4613-1981-8
  • Copyright Information Springer-Verlag US 1987
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4612-9184-8
  • Online ISBN 978-1-4613-1981-8
  • Series Print ISSN 0893-3405
  • Buy this book on publisher's site