Nevatia's Machine Perception: Table of Contents
- Preface & Table of Contents
- 1. INTRODUCTION (Page 1)
- 1.1 SOME EXAMPLES AND PROBLEMS (Page 2)
- 1.2 AN OVERVIEW AND HISTORY (Page 3)
- 1.3 RELATIONSHIP TO PSYCHOLOGY (Page 5)
- 1.4 PLAN OF THE BOOK (Page 5)
- 2. PATTERN CLASSIFICATION METHODS (Page 1)
- 2.1 DIGITAL REPRESENTATION OF AN IMAGE (Page 1)
- 2.1.1 Connectivity in Digital images (Page 1)
- 2.2 TEMPLATE MATCHING (Page 2)
- 2.3 PATTERN CLASSIFICATION IN FEATURE SPACE (Page 3)
- 2.4 PERCEPTRONS (Page 4)
- 2.5 SYNTACTICAL APPROACHES (Page 5)
- 2.6 SUMMARY (Page 6)
- 3. SIMPLE POLYHEDRAL SCENES (Page 1)
- 3.1 PERCEPTION OF SIMPLE POLYHEDRAL SOLIDS (Page 1)
- 3.1.1 Extraction of Line Drawings (Page 2)
- 3.1.2 Model Matching (Page 3)
- 3.2 MODEL TRANSFORMATIONS (Page 4)
- 3.2.1 Perspective Transformations (Page 4)
- 3.2.2 Homogeneous Coordinates (Page 5)
- 3.2.3 Geometrical Transformations (Page 6)
- 3.3 FITTING OF MODELS (Page 7)
- 3.3.1 Camera Calibration (Page 8)
- 3.4 SUMMARY (Page 9)
- 4. COMPLEX SCENES OF POLYHEDRA (Page 1)
- 4.1 SEGMENTATION OF POLYHEDRAL SCENES (Page 1)
- 4.2 CLASSIFICATION OF LINES (Page 3)
- 4.2.1 Inclusion of Shadows (Page 5)
- 4.3 GEOMETRICAL CONSTRAINTS FOR POSSIBLE OBJECTS (Page 6)
- 4.3.1 Gradient Spaces and Dual Graphs (Page 7)
- 4.4 DESCRIPTIONS OF OBJECT ASSEMBLES (Page 8)
- 4.4.1 Computation of Descriptions (Page 9)
- 4.4.2 Learning of Structural Descriptions (Page 10)
- 4.5 SUMMARY (Page 10)
- 5. SHAPE ANALYSIS AND RECOGNITION (Page 1)
- 5.1 REPRESENTATIONS OF COMPLEX SHAPES (Page 2)
- 5.2 LINE DESCRIPTIONS (Page 2)
- 5.2.1 Storage of Lines (Page 2)
- 5.2.2 Line Approximations (Page 3)
- 5.2.3 Analytical Line Shape Measures (Page 4)
- 5.3 AREA DESCRIPTIONS (Page 4)
- 5.3.1 Simple Shape Measures (Page 4)
- 5.3.2 Analytical Measures (Page 5)
- 5.3.3 A Medial Axis Transform (Page 6)
- 5.4 DESCRIPTIONS OF 3.D OBJECTS (Page 7)
- 5.4.1 Generalized Cones (Page 7)
- 5.4.2 Computation of Generalised Cones (Page 8)
- 5.5 RECOGNITION OF OBJECTS (Page 11)
- 5.5.1 Graph Matching (Page 11)
- 5.5.2 Relaxation Labeling (Page 12)
- 5.5.3 Multilevel Matching (Page 13)
- 5.6 SUMMARY (Page 14)
- 6. PERCEPTION OF BRIGHTNESS AND COLOR (Page 1)
- 6.1 BRIGHTNESS AND COLOR (Page 1)
- 6.1.1 The Human Eye (Page 2)
- 6.1.2 Local Measurements (Page 2)
- 6.2 LATERAL INHIBITION AND LIGHTNESS COMPUTATION (Page 3)
- 6.3 SUMMARY (Page 5)
- 7. EDGE AND CURVE DETECTION (Page 1)
- 7.1 EDGE DETECTION (Page 1)
- 7.1.1 Edge enhancement and Differentiation (Page 1)
- 7.1.2 Edge Fitting (Page 2)
- 7.1.3 Edge Detection by Template Matching (Page 3)
- 7.1.4 Statistical Edge Detectors (Page 6)
- 7.1.5 Choice of Thresholds (Page 6)
- 7.2 RESULTS OF EDGE DETECTION (Page 7)
- 7.3 LINE AND CURVE DETECTION (Page 9)
- 7.3.1 Hough Transform (Page 9)
- 7.3.2 Graph-Theoretic Techniques (Page 10)
- 7.3.3 Method of Projections (Page 10)
- 7.4 CONTOUR FILLING AND FEEDBACK (Page 11)
- 7.5 COLOR EDGES (Page 12)
- 7.6 SUMMARY (Page 13)
- 8. REGION SEGMENTATION AND TEXTURE ANALYSIS (Page 1)
- 8.1 REGION SEGMENTATION (Page 1)
- 8.1.1 Thresholding and Recursive Segmentation (Page 1)
- 8.1.2 Region Growing (Page 5)
- 8.1.3 Semantically Guided Region Growing (Page 5)
- 8.1.4 Tracing Region Boundaries (Page 6)
- 8.2 EDGE VERSUS REGION SEGMENTATION (Page 6)
- 8.3 TEXTURE ANALYSIS (Page 7)
- 8.3.1 Statistical Texture Measures (Page 9)
- 8.3.2 Structural Texture Descriptions (Page 11)
- 8.3.3 Comparison of Texture Features (Page 12)
- 8.3.4 Texture Segmentation (Page 13)
- 8.4 SUMMARY (Page 13)
- 9. DEPTH MEASUREMENT AND ANALYSIS (Page 1)
- 9.1 STEREO AND MOTION (Page 1)
- 9.1.1 Correspondence Search (Page 2)
- 9.1.2 Global Correspondences (Page 3)
- 9.1.3 Motion Detection and Analysis (Page 4)
- 9.2 ACTIVE RANGING (Page 5)
- 9.2.1 Triangulation Ranging (Page 5)
- 9.2.2 LIDAR Ranging (Page 7)
- 9.3 SEGMENTATION USING RANGE (Page 7)
- 9.3.1 Boundary Detection (Page 7)
- 9.3.2 Detection of Plans and Surfaces (Page 8)
- 9.4 SHAPE FROM SHADING (Page 8)
- 9.4.1 Reflectance Maps (Page 9)
- 9.5 TEXTURE GRADIENTS (Page 10)
- 9.6 CONTOUR ANALYSIS (Page 12)
- 9.7 SUMMARY (Page 13)
- 10. SYSTEMS AND APPLICATIONS (Page 1)
- 10.1 GENERAL SYSTEMS (Page 2)
- 10.2 KNOWLEDGE BASED SYSTEMS (Page 2)
- 10.3 APPLICATIONS (Page 4)
- 10.3.1 Industrial Applications (Page 5)
- 10.3.2 Photo Interpretation and Change Detection (Page 5)
- 10.3.3 Guidance, Navigation, and Scene Registration (Page 6)
- 10.3.4 Medical Applications (Page 6)
- 10.3.5 Hardware Requirements (Page 7)
- 10.4 SUMMARY AND FUTURE (Page 7)
- Index (Page 9)
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