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Three-Dimensional Machine Vision

  • Book
  • © 1987

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Editors:
  1. Takeo Kanade

    1. Carnegie Mellon University, USA

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Table of contents (14 chapters)

  1. Front Matter

    Pages i-ix
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  2. 3-D Sensors

    1. Front Matter

      Pages 1-1
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    2. A Three-Dimensional Sensor Based on Structured Light

      • J. L. Mundy, G. B. Porter III
      Pages 3-61

    3. 3-D Vision System Analysis and Design

      • Steven K. Case, Jeffrey A. Jalkio, Richard C. Kim
      Pages 63-95

    4. Robot Vision by Encoded Light Beams

      • Martin D. Altschuler, Kyongtae Bae, Bruce R. Altschuler, Jerome T. Dijak, Louis A. Tamburino, Barbara Woolford
      Pages 97-149

    5. A Noncontact Optical Proximity Sensor for Measuring Surface Shape

      • Takeo Kanade, Michael Fuhrman
      Pages 151-192

  3. 3-D Feature Extractions

    1. Front Matter

      Pages 193-193
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    2. Toward a Surface Primal Sketch

      • Jean Ponce, Michael Brady
      Pages 195-240

    3. 3-D Object Representation from Range Data Using Intrinsic Surface Properties

      • B. C. Vemuri, A. Mitiche, J. K. Aggarwal
      Pages 241-266

    4. Use of Vertex-Type Knowledge for Range Data Analysis

      • Kokichi Sugihara
      Pages 267-298

  4. 3-D Recognition Algorithms

    1. Front Matter

      Pages 299-299
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    2. The Representation, Recognition, and Positioning of 3-D Shapes from Range Data

      • O. D. Faugeras, M. Hebert
      Pages 301-353

    3. An Object Recognition System Using Three-Dimensional Information1

      • Masaki Oshima, Yoshiaki Shirai
      Pages 355-397

    4. 3DPO: A Three-Dimensional Part Orientation System

      • Robert C. Bolles, Patrice Horaud
      Pages 399-450

    5. Recognition and Localization of Overlapping Parts From Sparse Data

      • W. Eric L. Grimson, Tomás Lozano-Pérez
      Pages 451-510
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Keywords

Editors and Affiliations

  • Carnegie Mellon University, USA

    Takeo Kanade

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