COMPUTER METHODS FOR ANALYSIS AND SYNTHESIS OF VISUAL TEXTURE

By L. MIKAM

CONTENTS COMPUTER VISION OVERVIEW HUMAN VISION AND CHARACTERISTICS VISUAL CHARACTERISTICS BRIGHTNESS PROPERTIES OF VISION SPATIAL PROPERTIES OF VISION TEMPORAL PROPERTIES OF VISION VISUAL PERCEPTION COMPUTER VISION THEORY AND FRAMEWORK REASERCH GOALS, TASKS, AND METHODS OF COMPUTER VISION VISUAL COMPUTATIONAL THEORY FRAMEWORK PROBLEMS AND IMPROVEMENTS THREE-DIMENSIONAL VISION SYSTEM AND IMAGE TECHNOLOGY THREE-DIMENSIONAL VISION SYSTEM PROCESS COMPUTER VISION AND IMAGE TECHNOLOGY LEVELS IMAGE TECHNOLOGY CATEGORY OVERVIEW OF THE STRUCTURE AND CONTENT OF THIS BOOK STRUCTURAL FRAMEWORK AND CONTENT OF THIS BOOK CHAPTER OVERVIEW KEY POINTS AND REFERENCES FOR EACH SECTION SELF-TEST QUESTIONS REFERENCES CAMERA CALIBRATION LINEAR CAMERA MODEL COMPLETE IMAGING MODEL BASIC CALIBRATION PROCEDURE INTERNAL AND EXTERNAL PARAMETERS NON-LINEAR CAMERA MODEL TYPE OF DISTORTION CALIBRATION STEPS CLASSI?CATION OF CALIBRATION METHODS TRADITIONAL CALIBRATION METHODS BASIC STEPS AND PARAMETERS TWO-STAGE CALIBRATION METHOD PRECISION IMPROVEMENT SELF-CALIBRATION METHODS THREE-DIMENSIONAL IMAGE ACQUISITION HIGH-DIMENSIONAL IMAGE DEPTH IMAGE DEPTH IMAGE AND GRAYSCALE IMAGE INTRINSIC IMAGE AND NON-INTRINSIC IMAGE DEPTH IMAGING MODES DIRECT DEPTH IMAGING TIME-OF-FLIGHT METHOD STRUCTURED LIGHT METHOD MOIRÉ CONTOUR STRIPES METHOD SIMULTANEOUS ACQUISITION OF DEPTH AND BRIGHTNESS IMAGES STEREO VISION IMAGING BINOCULAR HORIZONTAL MODE BINOCULAR CONVERGENCE HORIZONTAL MODE BINOCULAR AXIAL MODE VIDEO IMAGE AND MOTION INFORMATION VIDEO BASIC VIDEO EXPRESSION AND MODEL VIDEO DISPLAY AND FORMAT COLOR TV SYSTEM MOTION CLASSI?CATION AND REPRESENTATION MOTION CLASSI?CATION MOTION VECTOR FIELD REPRESENTATION MOTION HISTOGRAM REPRESENTATION MOTION TRACK DESCRIPTION MOTION INFORMATION DETECTION MOTION DETECTION BASED ON CAMERA MODEL FREQUENCY DOMAIN MOTION DETECTION DETECTION OF MOVEMENT DIRECTION MOTION-BASED FILTERING MOTION DETECTION-BASED FILTERING MOTION COMPENSATION-BASED FILTERING MOVING OBJECT DETECTION AND TRACKING DIFFERENTIAL IMAGE CALCULATION OF DIFFERENCE IMAGE CALCULATION OF ACCUMULATIVE DIFFERENCE IMAGE BACKGROUND MODELING BASIC PRINCIPLE TYPICAL PRACTICAL METHODS EFFECT EXAMPLES OPTICAL FLOW FIELD AND MOTION OPTICAL FLOW EQUATION OPTICAL FLOW ESTIMATION WITH LEAST SQUARE METHOD OPTICAL FLOW IN MOTION ANALYSIS DENSE OPTICAL FLOW ALGORITHM MOVING OBJECT TRACKING KALMAN FILTER PARTICLE FILTER MEAN SHIFT AND KERNEL TRACKING BINOCULAR STEREO VISION STEREO VISION PROCESS AND MODULES IMAGE ACQUISITION FEATURE EXTRACTION STEREO MATCHING 3-D INFORMATION RECOVERY POST-PROCESSING REGION-BASED STEREO MATCHING TEMPLATE MATCHING FEATURE-BASED STEREO MATCHING BASIC STEPS AND METHODS SCALE INVARIANT FEATURE TRANSFORMATION DYNAMIC PROGRAMMING MATCHING ERROR DETECTION AND CORRECTION OF PARALLAX MAP ERROR DETECTION ERROR CORRECTION MONOCULAR MULTIPLE IMAGE RECOVERY PHOTOMETRIC STEREO LIGHT SOURCE, SCENERY, LENS SCENE BRIGHTNESS AND IMAGE BRIGHTNESS SURFACE RE?ECTION CHARACTERISTICS AND BRIGHTNESS SHAPE FROM ILLUMINATION REPRESENTATION OF THE SURFACE ORIENTATION OF A SCENE RE?ECTANCE MAP AND BRIGHTNESS CONSTRAINT EQUATION SOLUTION OF PHOTOMETRIC STEREO OPTICAL FLOW AND MOTION FIELD SOLVING OPTICAL FLOW EQUATION SHAPE FROM MOTION MONOCULAR SINGLE IMAGE RECOVERY SHAPE FROM SHADING SHADING AND ORIENTATION GRADIENT SPACE METHOD SOLVING BRIGHTNESS EQUATION LINEARITY CASE ROTATIONAL SYMMETRY CASE THE GENERAL CASE OF SMOOTHNESS CONSTRAINTS SHAPE FROM TEXTURE MONOCULAR IMAGING AND DISTORTION ORIENTATION RESTORATION FROM THE CHANGE OF TEXTURE DETECTION OF TEXTURE VANISHING POINTS DETECTING THE VANISHING POINT OF LINE SEGMENT TEXTURE DETERMINE THE VANISHING POINT OUTSIDE THE IMAGE THREE-DIMENSIONAL SCENERY REPRESENTATION LOCAL FEATURES OF THE SURFACE SURFACE NORMAL SECTION SURFACE PRINCIPAL CURVATURE MEAN CURVATURE AND GAUSSIAN CURVATURE THREE-DIMENSIONAL SURFACE REPRESENTATION PARAMETER REPRESENTATION SURFACE ORIENTATION REPRESENTATION CONSTRUCTION AND REPRESENTATION OF ISO-SURFACES MARCHING CUBE ALGORITHM WRAPPER ALGORITHM INTERPOLATING THREE-DIMENSIONAL SURFACES FROM PARALLEL CONTOURS CONTOUR INTERPOLATION AND TILING PROBLEMS THAT MAY BE ENCOUNTERED DELAUNAY TRIANGULATION AND NEIGHBORHOOD VORONOÏ DIAGRAM THREE-DIMENSIONAL ENTITY REPRESENTATION BASIC REPRESENTATION SCHEME GENERALIZED CYLINDER REPRESENTATION GENERALIZED MATCHING MATCHING OVERVIEW MATCHING STRATEGIES AND CATEGORIES MATCHING AND REGISTRATION MATCHING EVALUATION OBJECT MATCHING MEASURE OF MATCHING CORRESPONDING POINT MATCHING STRING MATCHING MATCHING OF INERTIA EQUIVALENT ELLIPSES SHAPE MATRIX MATCHING DYNAMIC PATTERN MATCHING MATCHING PROCESS ABSOLUTE PATTERN AND RELATIVE PATTERN GRAPH THEORY AND GRAPH MATCHING INTRODUCTION TO GRAPH THEORY GRAPH ISOMORPHISM AND MATCHING LINE DRAWING SIGNATURE AND MATCHING CONTOUR MARKING STRUCTURAL REASONING LABELING VIA BACKTRACKING KNOWLEDGE AND SCENE INTERPRETATION SCENE KNOWLEDGE MODEL ATTRIBUTE HYPERGRAPH KNOWLEDGE-BASED MODELING LOGIC SYSTEM PREDICATE CALCULATION RULES INFERENCE BY THEOREM PROVING FUZZY REASONING FUZZY SETS AND FUZZY OPERATIONS FUZZY REASONING METHOD SCENE CLASSI?CATION BAG-OF-WORDS/FEATURE MODEL PLSA MODEL SPATIAL-TEMPORAL BEHAVIOR UNDERSTANDING SPATIAL-TEMPORAL TECHNOLOGY NEW RESEARCH FIELD MULTIPLE LEVELS SPATIAL-TEMPORAL INTEREST POINT DETECTION DETECTION OF POINTS OF INTEREST IN SPACE DETECTION OF POINTS OF INTEREST IN SPACE AND TIME SPATIAL-TEMPORAL DYNAMIC TRAJECTORY LEARNING AND ANALYSIS AUTOMATIC SCENE MODELING PATH LEARNING AUTOMATIC ACTIVITY ANALYSIS SPATIAL-TEMPORAL ACTION CLASSI?CATION AND RECOGNITION ACTION RECOGNITION