Analysis and Interpretation of Range Images

  • Ramesh C. Jain
  • Anil K. Jain

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

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Ramesh Jain, Anil K. Jain
    Pages 1-31
  3. S. Tanaka, A. C. Kak
    Pages 33-139
  4. Paul J. Besl
    Pages 141-205
  5. Ruzena Bajcsy, Franc Solina, Alok Gupta
    Pages 207-223
  6. George Stockman
    Pages 225-253
  7. N. R. Corby, J. L. Mundy
    Pages 255-272
  8. Martial Hebert, Takeo Kanade, InSo Kweon
    Pages 273-337
  9. J. K. Aggarwa, N. Nandhakumar
    Pages 339-361
  10. Back Matter
    Pages 363-387

About this book

Introduction

Computer vision researchers have been frustrated in their attempts to automatically derive depth information from conventional two-dimensional intensity images. Research on "shape from texture", "shape from shading", and "shape from focus" is still in a laboratory stage and had not seen much use in commercial machine vision systems. A range image or a depth map contains explicit information about the distance from the sensor to the object surfaces within the field of view in the scene. Information about "surface geometry" which is important for, say, three-dimensional object recognition is more easily extracted from "2 1/2 D" range images than from "2D" intensity images. As a result, both active sensors such as laser range finders and passive techniques such as multi-camera stereo vision are being increasingly utilized by vision researchers to solve a variety of problems. This book contains chapters written by distinguished computer vision researchers covering the following areas: Overview of 3D Vision Range Sensing Geometric Processing Object Recognition Navigation Inspection Multisensor Fusion A workshop report, written by the editors, also appears in the book. It summarizes the state of the art and proposes future research directions in range image sensing, processing, interpretation, and applications. The book also contains an extensive, up-to-date bibliography on the above topics. This book provides a unique perspective on the problem of three-dimensional sensing and processing; it is the only comprehensive collection of papers devoted to range images. Both academic researchers interested in research issues in 3D vision and industrial engineers in search of solutions to particular problems will find this a useful reference book.

Keywords

3D Stereo Textur cognition computer vision control machine vision modeling navigation object recognition pattern recognition perception shading verification

Editors and affiliations

  • Ramesh C. Jain
    • 1
  • Anil K. Jain
    • 2
  1. 1.Electrical Engineering and Computer Science DepartmentUniversity of MichiganAnn ArborUSA
  2. 2.Department of Computer ScienceMichigan State UniversityEast LansingUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4612-3360-2
  • Copyright Information Springer-Verlag New York 1990
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4612-7980-8
  • Online ISBN 978-1-4612-3360-2
  • Series Print ISSN 1431-858X
  • About this book