Describing and Recognizing 3-D Objects Using Surface Properties / Edition 1

by Ting-Jun Fan

Overview

Surface properties play a very important role in many perception tasks. Object recognition, navigation, and inspection use surface properties ex­ tensively. Characterizing surfaces at different scales in given data is often the first and possibly the most important step. Most early research in machine perception relied on only very coarse characterization of surfaces. In the last few years, surface characterization has been receiving due attention. Dr. T. J. Fan is one of the very few researchers who designed and im­ plemented a complete system for object recognition. He studied issues re­ lated to characterization of surfaces in the context of object recognition, and then uses the features thus developed for recognizing objects. He uses a multi-view representation of 3-D objects for recognition, and he devel­ ops techniques for the segmentation of range images to obtain features for recognition. His matching approach also allows him to recognize objects from their partial views in the presence of other occluding objects. The efficacy of his approach is demonstrated in many examples.

Product Details

ISBN-13:	9780387971797
Publisher:	Springer New York
Publication date:	12/01/1989
Series:	Springer Series in Perception Engineering
Edition description:	1990
Pages:	142
Product dimensions:	6.14(w) x 9.21(h) x 0.36(d)

Table of Contents

1 Introduction.- 1.1 The Input.- 1.2 Issues in Shape Description.- 1.3 Issues of Recognition.- 1.4 Questions for the Research.- 1.5 The Contribution of the Research.- 1.6 Organization of the Book.- 2 Survey of Previous Work.- 2.1 Survey of Shape Descriptions.- 2.2 Survey of Recognition Systems.- 3 Surface Segmentation and Description.- 3.1 Curvature Properties and Surface Discontinuities.- 3.2 Detecting Surface Features.- 3.3 Space Grouping.- 3.4 Spatial Linking.- 3.5 Segmentation into Surface Patches.- 3.6 Surface Fitting.- 3.7 Object Inference.- 3.8 Representing Objects by Attributed Graphs.- 4 Object Recognition.- 4.1 Representation of Models.- 4.2 Overview of the Matching Process.- 4.3 Module 1: Screener.- 4.4 Module 2: Graph Matcher.- 4.5 Module 3: Analyzer.- 4.6 Summary.- 5 Experimental Results.- 5.1 The Models.- 5.2 A Detailed Case Study.- 5.3 Results for Other Scenes.- 5.4 Parallel Versus Sequential Search.- 5.5 Unknown Objects.- 5.6 Occlusion.- 6 Discussion and Conclusion.- 6.1 Discussion.- 6.2 Contribution.- 6.3 Future Research.- A Directional Curvatures.- B Surface Curvature.- C Approximation by Quadric Surfaces.

Editorial Reviews

Fan (IBM...Watson Research Center) presents his system for computer vision. He covers previous work, segmentation and description of objects, object recognition, and experimental results. We are dismayed that Springer V., a paragon among STM publishers has printed this work on acidic paper and has bound it by the fake-sewn method of notched- signature gluing. (Edwards Bros. of Ann Arbor has done the above bad work.) Annotation c. Book News, Inc., Portland, OR (booknews.com)

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