Techniques for 3-D Machine Perception

✍ Scribed by Azriel ROSENFELD (Eds.)

Publisher: Elsevier Science Ltd
Year: 1986
Leaves: 329
Series: Machine Intelligence and Pattern Recognition 3
Edition: 0
Category: Library

No coin nor oath required. For personal study only.

✦ Table of Contents

Content:
Front Matter
Page iii

Copyright page
Page iv

Preface
Page v
Azriel Rosenfeld

Experimental Implementation of a Ratio Image Depth Sensor
Pages 1-12
C.M. Bastuscheck, J.T. Schwartz

The Representation, Recognition, and Positioning of 3-D Shapes from Range Data
Pages 13-51
O.D. Faugeras, M. Hebert

Stereo Vision for the Acquisition and Tracking of Moving Three-Dimensional Objects
Pages 53-74
Donald B. Gennery

Computing Stereopsis Using Feature Point Contour Matching
Pages 75-111
W. Eric, L. Grimson

Model-Based Recognition and Localization from Sparse Range Data
Pages 113-148
W. Eric, L. Grimson, Tomás Lozano-Pérez

Representation and Incremental Construction of a Three-Dimensional Scene Model
Pages 149-183
Martin Herman

Knowledge-Based Stereo and Structured Light for 3-D Robot Vision
Pages 185-218
A.C. Kak, K.L. Boyer, R.J. Safranek, H.S. Yang

Model Based Interpretation of 3-D Range Data
Pages 219-230
Darwin T. Kuan, Robert J. Drazovich

Multiple Resolution Search Techniques for the Hough Transform in High Dimensional Parameter Spaces
Pages 231-254
Victor J. Milenkovic

The Use of Numerical Relational Distance and Symbolic Differences for Organizing Models and for Matching
Pages 255-270
Linda G. Shapiro

Three Dimensional Object Recognition Using Oriented Model Points
Pages 271-320
Teresa M. Silberberg, David Harwood, Larry S. Davis

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