Front Cover; Human and Machine Vision II; Copyright Page; Table of Contents; Preface; Contributors; Chapter 1. Perception of Transparency in Man and Machine; 1. INTRODUCTION; 2. ADDITIVE COLOR MIXTURE; 3. SUBTRACTIVE COLOR MIXTURE; 4. NONVERIDICAL PERCEPTION OF TRANSPARENCY; 5. REFLECTANCE VS LIGHTNESS; 6. PERCEPTION OF THE DEGREE OF TRANSPARENCY; 7. FIGURAL CUES; 8. HUMAN AND MACHINE JUDGMENTS OF TRANSPARENCY; REFERENCES; Chapter 2. Human Image Understanding: Recent Research and a Theory; RECOGNITION: UNITS AND CATEGORIES; THEORETICAL DOMAIN: PRIMAL ACCESS

BASIC PHENOMENA OF OBJECT RECOGNITIONRECOGNITION-BY-COMPONENTS; A PERCEPTUAL BASIS FOR A COMPONENTIAL REPRESENTATION; COMPONENTS GENERATED FROM DIFFERENCES IN NONACCIDENTAL PROPERTIES AMONG GENERALIZED CONES; RELATIONS OF RBC TO PRINCIPLES OF PERCEPTUAL ORGANIZATION; A LIMITED NUMBER OF COMPONENTS?; EXPERIMENTAL SUPPORT FOR A COMPONENTIAL REPRESENTATION; SUMMARY AND IMPLICATIONS OF THE EXPERIMENTAL RESULTS; CONCLUSION; REFERENCES; Chapter 3. Describing Surfaces; 1. INTRODUCTION; 2. SURFACE CURVES; 3. COMPUTATIONAL EXPERIMENTS; APPENDIX A; APPENDIX B: THE GENERALIZED CONE THEOREM

ACKNOWLEDGMENTSREFERENCES; Chapter 4. Connectionist Models and Parallelism in High Level Vision; 1. INTRODUCTION; 2. CONNECTIONIST MODELS; 3. PARALLEL VISUAL RECOGNITION; 4. LIMITS ON PARALLELISM; REFERENCES; Chapter 5. Toward a Theory of the Perceived Spatial Layout of Scenes; 1. INTRODUCTION; 2. MEASURING PERCEIVED LAYOUT FROM RESPONSES ABOUT A SCENE; 3. EXPERIMENTAL PROCEDURE TO MEASURE PRECEIVED LAYOUT; 4. RESULTS OF EMPIRICAL MEASUREMENTS OF PERCEIVED LAYOUT; 5. HOW GOOD ARE THESE MEASURES OF PERCEIVED LAYOUT OF SPACE; 6. PROPERTIES OF THE PERCEIVED LAYOUT OF SPACE

7. VARIABLES THAT AFFECT THE PERCEIVED LAYOUT OF SPACE8. THE THEORETICAL IMPORTANCE OF THE STUDY OF PERCEIVED LAYOUT; ACKNOWLEDGMENTS; REFERENCES; Chapter 6. Generative Systems of Analyzers; 1. INTRODUCTION; 2. AN EXAMPLE; 3. THE GENERATIVE STRUCTURE; 4. THE STRUCTURE OF GROUPING; 5. WIRING TOGETHER THE EXTERNAL AND INTERNAL ANALYZER SYSTEMS; 6. ANALYZER SYSTEMS ENCODING THE CARTESIAN REFERENCE FRAMES; 7. THE JOHANSSON MOTION PHENOMENON; 8. THE ANALYSIS OF COMPLEX SHAPE; REFERENCES; Chapter 7. Early Vision: From Computational Structure to Algorithms and Parallel Hardware; 1. INTRODUCTION

2. ANALOG NETWORKS FOR SOLVING VARIATIONAL PROBLEMS3. CONCLUSION; ACKNOWLEDGMENTS; REFERENCES; Chapter 8. Codon Constraints on Closed 2D Shapes; 1. INTRODUCTION; 2. THE REPRESENTATION; 3. PART DESCRIPTORS: CODONS; 4. CONSTRAINTS ON SMOOTH CODON STRINGS; 5. CLOSED CODONS; 6. MIRROR REVERSAL, HOLES, AND FIGURE-GROUND; 7. INDEX DEVELOPMENT; 8. MAPPING 3D ~ 2D; 9. SUMMARY; APPENDIX I: A BINARY MAPPING FOR CODON STRINGS; APPENDIX II: NUMBERS OF POSSIBLE OPEN, SMOOTH CODON STRINGS; APPENDIX III: NUMBER OF SMOOTH CLOSED CODON STRINGS; ACKNOWLEDGMENTS; REFERENCES