Preface |
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vii | |
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1 Form Perception: Experience and Explanations |
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1 | (30) |
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1 Form Perception: Mental Structure or Direct Sensory Experience? |
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1 | (4) |
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2 The Phenomenological Theories of Hering and Mach, and Their Modern Descendants |
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5 | (8) |
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3 Aperture Viewing: Forms Perceived by Piecemeal Presentation |
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13 | (7) |
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4 The Two Classes of Theory and Their Present Inadequacies |
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20 | (4) |
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5 Exploring the Characteristics of Mental Structure |
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24 | (7) |
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2 The Role of Perceptual Interrelations in Figural Synthesis |
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31 | (52) |
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1 Introduction: The Organization of the Chapter |
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31 | (1) |
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2 Perceptual Equivalence of Diverse Information |
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32 | (5) |
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3 Perceptual Interrelations in Hypotheses of lnvariance |
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37 | (17) |
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4 Perceptual Interrelations in Induction Effects |
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54 | (21) |
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75 | (8) |
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3 Local and Global Computational Factors in Visual Pattern Recognition |
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83 | (34) |
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85 | (2) |
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2 Structural Descriptions |
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87 | (1) |
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87 | (3) |
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4 Spatial Relations Between Local Features |
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90 | (3) |
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5 Higher-Order Structures |
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93 | (1) |
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6 Special Elements in Internal Representations |
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93 | (1) |
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7 Local and Global Fourier Analyzers |
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94 | (2) |
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8 Decomposition of Internal Representations |
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96 | (4) |
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9 Internal Operations on Internal Representations |
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100 | (3) |
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10 Evidence for a Vertical-Horizontal Reference System for Spatial Relations |
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103 | (2) |
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11 Lability of Encoding Processes |
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105 | (1) |
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12 Adaptation of Encoding Processes |
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106 | (3) |
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109 | (8) |
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4 Some Global Properties of Binocular Resonances: Disparity Matching, Filling-in, and Figure-Ground Synthesis |
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117 | (36) |
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1 Introduction: Specialized Models of Coherent Percepts |
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117 | (1) |
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2 Adaptive Self-Organization and Binocular Resonance |
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118 | (1) |
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3 The Filling-In Dilemma: To Have Your Edge and Fill-In Too |
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119 | (1) |
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4 Visual Quantization: Structural vs. Functional Scales |
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120 | (2) |
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5 FIRE: A Strategy for Solving the Filling-In Dilemma |
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122 | (2) |
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6 The Principle of Scale Equivalence: Gradient Depth, Motion Depth, Cognitive Depth, and Binocular Depth |
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124 | (1) |
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7 Reflectance Processing and Limited Capacity in Shunting Competitive Networks |
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125 | (2) |
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8 Featural Noise Suppression, Adaptation Level, and Pattern Matching |
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127 | (1) |
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9 Receptive Fields, Spatial Frequencies, and Edges |
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128 | (1) |
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10 Short-Term Memory, Feedback Competitive Networks, and Nonlinear Cross-Correlation |
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129 | (1) |
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11 Signal Noise Suppression and Nonlinear Brightness Summation |
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130 | (1) |
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12 Gain Control of Network Sensitivity: Quenching Threshold |
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131 | (1) |
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13 A Network Exhibiting Binocular Resonances |
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132 | (2) |
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Monocular Representations |
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132 | (1) |
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133 | (1) |
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Binocular-to-Monocular Feedback |
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133 | (1) |
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14 Disparity Matching, Filling-In, and Figure-Ground Synthesis |
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134 | (14) |
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15 Concluding Remarks: Merging Continuous Local Features and Quantized Global Gestalts |
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148 | (5) |
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5 On the Specification of Coding Principles for Visual Image Processing |
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153 | (32) |
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153 | (2) |
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2 Models for Receptive Field Coding Characteristics |
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155 | (3) |
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3 Models for Perceptive Field Coding Characteristics |
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158 | (18) |
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4 RF and PF Codes: A Unified Coding Theory (UCT: Linear Case) |
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176 | (1) |
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5 Picture Coding and the "Primal Sketch": Applications of UCT |
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177 | (2) |
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6 Spatial Coding and the Invariance Problem |
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179 | (2) |
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7 Conclusion: Figural Synthesis |
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181 | (4) |
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6 Image Transforms in the Visual System |
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185 | (34) |
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185 | (4) |
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2 Log Polar Frequency Transform |
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189 | (5) |
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3 Physiological Constraints |
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194 | (12) |
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4 A Relative Phase Sensitive Log Polar Frequency Encoding |
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206 | (5) |
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211 | (2) |
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213 | (6) |
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7 Local and Global Factors in Figural Synthesis |
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219 | (30) |
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219 | (3) |
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2 Perceptual Vectorfields |
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222 | (3) |
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3 Experiments on "Visual Structure" |
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225 | (24) |
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8 Figural Synthesis by Vectorfields: Geometric Neuropsychology |
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249 | (34) |
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1 A Brief History of Vectorial and Group Ideas in Psychology |
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249 | (6) |
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2 The Neuropsychology of Figural Synthesis |
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255 | (5) |
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3 Figural Synthesis by Cortical Vectorfields |
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260 | (23) |
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9 Two Constraints on Early Orientation Selection in Dot Patterns |
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283 | (18) |
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283 | (1) |
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2 An Introduction to Early Orientation Selection |
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284 | (1) |
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3 Type I and Type II Dot Patterns |
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285 | (2) |
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4 A Computational Model for Orientation Selection |
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287 | (5) |
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5 Experiments With the Model |
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292 | (2) |
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6 The Difference Between Type I and Type II Processes |
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294 | (2) |
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7 Size/Density Constraints |
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296 | (1) |
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8 Type I and Type II Motion Patterns |
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297 | (1) |
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298 | (3) |
Author Index |
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301 | (7) |
Subject Index |
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308 | |