Analysis and Interpretation of Range Images

1. Front Matter

   Pages i-xiii

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2. Report: 1988 NSF Range Image Understanding Workshop

   • Ramesh Jain, Anil K. Jain

   Pages 1-31

3. A Rule-Based Approach to Binocular Stereopsis

   • S. Tanaka, A. C. Kak

   Pages 33-139

4. Geometric Signal Processing

   • Paul J. Besl

   Pages 141-205

5. Segmentation versus object representation — are they separable?

   • Ruzena Bajcsy, Franc Solina, Alok Gupta

   Pages 207-223

6. Object Recognition

   • George Stockman

   Pages 225-253

7. Applications of Range Image Sensing and Processing

   • N. R. Corby, J. L. Mundy

   Pages 255-272

8. 3-D Vision Techniques for Autonomous Vehicles

   • Martial Hebert, Takeo Kanade, InSo Kweon

   Pages 273-337

9. Multisensor Fusion for Automatic Scene Interpretation

   • J. K. Aggarwa, N. Nandhakumar

   Pages 339-361

10. Back Matter

    Pages 363-387

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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.

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

• Electrical Engineering and Computer Science Department, University of Michigan, Ann Arbor, USA

  Ramesh C. Jain

• Department of Computer Science, Michigan State University, East Lansing, USA

  Anil K. Jain

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