Front Cover

pp.：  1 – 4

Techniques for 3-D Machine Perception

pp.：  4 – 5

Copyright Page

pp.：  5 – 8

PREFACE

pp.：  6 – 10

Table of Contents

pp.：  8 – 6

CHAPTER 1. EXPERIMENTAL IMPLEMENTATION OF A RATIO IMAGE DEPTH SENSOR

pp.：  10 – 22

CHAPTER 2. THE REPRESENTATION, RECOGNITION, AND POSITIONING OF 3-D SHAPES FROM RANGE DATA

pp.：  22 – 62

CHAPTER 3. STEREO VISION FOR THE ACQUISITION AND TRACKING OF MOVING THREE-DIMENSIONAL OBJECTS

pp.：  62 – 84

CHAPTER 4. COMPUTING STEREOPSIS USING FEATURE POINT CONTOUR MATCHING

pp.：  84 – 122

CHAPTER 5. MODEL-BASED RECOGNITION AND LOCALIZATION FROM SPARSE RANGE DATA

pp.：  122 – 158

CHAPTER 6. REPRESENTATION AND INCREMENTAL CONSTRUCTION OF A THREE-DIMENSIONAL SCENE MODEL

pp.：  158 – 194

CHAPTER 7. KNOWLEDGE-BASED STEREO AND STRUCTURED LIGHT FOR 3-D ROBOT VISION

pp.：  194 – 228

CHAPTER 8. MODEL BASED INTERPRETATION OF 3-D RANGE DATA

pp.：  228 – 240

CHAPTER 9. MULTIPLE RESOLUTION SEARCH TECHNIQUES FOR THE HOUGH TRANSFORM IN HIGH DIMENSIONAL PARAMETER SPACES

pp.：  240 – 264

CHAPTER 10. THE USE OF NUMERICAL RELATIONAL DISTANCE AND SYMBOLIC DIFFERENCES FOR ORGANIZING MODELS AND FOR MATCHING

pp.：  264 – 280

CHAPTER 11. THREE DIMENSIONAL OBJECT RECOGNITION USING ORIENTED MODEL POINTS

pp.：  280 – 330