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Surfaces in Range Image Understanding

  • Book
  • © 1988

Overview

Authors:
  1. Paul J. Besl

    1. Staff Research Scientist Computer Science Department, General Motors Research Laboratories, Warren, USA

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Part of the book series: Springer Series in Perception Engineering (SSPERCEPTION)

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Table of contents (8 chapters)

  1. Front Matter

    Pages i-xv
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  2. Introduction

    • Paul J. Besl
    Pages 1-33

  3. Object Recognition and Segmentation

    • Paul J. Besl
    Pages 34-62

  4. Surface Curvature Characteristics

    • Paul J. Besl
    Pages 63-115

  5. From Surface Labels to Surface Primitives

    • Paul J. Besl
    Pages 116-175

  6. Description Combination and Region Merging

    • Paul J. Besl
    Pages 176-189

  7. Region Edges

    • Paul J. Besl
    Pages 190-209

  8. Experimental Results

    • Paul J. Besl
    Pages 210-287

  9. Conclusions and Future Directions

    • Paul J. Besl
    Pages 289-297

  10. Back Matter

    Pages 298-340
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Keywords

About this book

Machine perception requires the digitization of physically-sensed signals. During the last ten years, digital range images have become available from a variety of sensors. This book is devoted to the problem of range image understanding with computers. Its aims are to develop a theoretical framework, devise appropriate algorithms, and demonstrate a software implementation of those algorithms that will confirm the usefulness of surfaces in range image understanding. It will be of interest to the researcher studying the theoretical concepts of image understanding, as well as the engineer who wants to implement these concepts in practical applications.

Authors and Affiliations

  • Staff Research Scientist Computer Science Department, General Motors Research Laboratories, Warren, USA

    Paul J. Besl

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