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Index
Table of Contents Title Page End User License Agreement
Warranty Disclaimer: Limitation of Liability:
eBook Product Disclaimer: Permission for Use of Material and Reproduction
Permission Information for Users Outside the USA: Permission Information for Users in the USA:
DEDICATION Author Biography FOREWORD PREFACE ACKNOWLEDGEMENTS CONFLICT OF INTEREST Introduction
Abstract
Biological Vision Systems – Architecture and Signal Characteristics
Abstract BIOLOGICAL MOTIVATIONS FOR A CHAOTIC APPROACH VISION SYSTEM PROCESSING ARCHITECTURE SIGNAL CHARACTERISTICS OF BIOLOGICAL PERCEPTIVE SYSTEMS CONCLUDING REMARKS
Foundations of Chaos and Fractals
Abstract INTRODUCING THE PHASE PLOT ARE COMPUTER VISION IMAGE SEQUENCES CHAOTIC, CHAOS-LIKE, OR PSEUDO-CHAOTIC AND DOES IT MATTER? THE ‘THERMAL EQUILIBRIUM’ STATE OF AN IMAGE – PURE NOISE BUILDING THE PHASE PLOT DETECTION OF CHAOS IN PHASE SPACE THROUGH PROPER DATA LAG SELECTION MANAGING COMPLEXITY WITHIN THE PHASE PLOT RECORDING TO WHERE IN THE PHASE PLOT PIXELS MAP EFFECTS OF NOISE ON THE PHASE PLOTS AN ASIDE ON ERGODICITY AND WHY IT IS IMPORTANT FOR COMPUTER VISION CONCLUDING REMARKS
Behavior of Images and Image Sequences in Phase Space
Abstract INTRODUCING TEMPORAL AND SPATIAL CHAOS THE EFFECTS OF ILLUMINATION CHANGE IN PHASE SPACE EFFECTS OF GLOBAL ILLUMINATION CHANGE IN LABORATORY CONDITIONS EFFECTS OF GLOBAL ILLUMINATION CHANGE DUE TO REAL-WORLD SUNLIGHT CONDITIONS EFFECTS OF SPATIO-TEMPORALLY VARYING ILLUMINATION CHANGE IN CONTROLLED LABORATORY AND INDOOR CONDITIONS EFFECTS OF SPATIO-TEMPORALLY VARYING ILLUMINATION CHANGE IN NATURAL SUNLIGHT CONDITIONS THE EFFECTS OF MOTION OR CONTEXTUAL CHANGE IN PHASE SPACE PHASE PLOT TRAJECTORIES FOR VARIOUS TYPES OF MOTION AND CONTEXTUAL CHANGE SIMULTANEOUS PRESENCE OF MOTION AND ILLUMINATION IN PHASE SPACE DETERMINING TIME LAGS FOR DETECTING MOTION EFFECTS OF TEXTURE IN PHASE SPACE DETERMINING SPATIAL LAGS FOR TEXTURE ANALYSIS EFFECTS OF NOISE ON TEXTURE IN PHASE SPACE MANAGING COMPLEXITY IN PHASE PLOTS FOR TEXTURE ANALYSIS AN ASIDE ON THE EFFECTS OF IMAGE QUALITY ON CHAOTIC MEASURES IMPACT OF SATURATION ON PHASE PLOTS IMPACT OF CAMERA GAMMA CORRECTIONS ON PHASE PLOTS IMPACT OF IMAGE FORMATS AND COMPRESSION ON PHASE PLOTS CONCLUDING REMARKS
Mathematical Measures for Analyzing Phase Space
Abstract OVERVIEW OF MEASURES OF FRACTALITY MEASURES OF FRACTALITY IN PHASE SPACE GLOBAL MORPHOLOGICAL MEASURES OF FRACTALITY
Box Counting Dimension Information Dimension Correlation Dimension Generalized Dimension Issues Arising with Global Fractal Measures of Multi-fractal Phase Plots
LOCAL MORPHOLOGICAL MEASURES OF FRACTALITY
Holder Exponent Dimension Local Fractal or Blanket Dimension
ADDITIONAL MEASURES FOR CHARACTERIZING VISION-RELATED PHASE PLOTS MEASURES OF LACUNARITY OF THE PHASE PLOT MEASURES ADOPTED FROM CO-OCCURRENCE MATRIX ANALYSES DIRECTLY CALCULATING THE FRACTAL DIMENSION FROM THE IMAGE DATA - THE LYAPOUNOV EXPONENTS TECHNIQUES FOR DETECTING COMPACTED ORBITS IN PHASE PLOTS CONCLUDING REMARKS
Applications to Pre-attentive Vision – Using the Presence of Chaos for Attention Direction
Abstract THE ATTENTION DIRECTION PROBLEM A CHAOS-BASED ALGORITHM FOR ATTENTION DIRECTION TRADITIONAL APPROACHES TO PRE-ATTENTIVE VISION TYPICAL RESULTS OF APPLYING CHAOS TO ATTENTION DIRECTION CONCLUDING REMARKS
Applications to Attentive Vision – Chaotic Basins of Attraction for Motion and Contextual Change Segmentation
Abstract SEGMENTING CHANGING OBJECTS IN SCENES A CHAOS-BASED ALGORITHM FOR IMAGE SEGMENTATION USING MOTION OR CONTEXTUAL CHANGE TYPICAL RESULTS FROM APPLYING CHAOS TO IMAGE SEGMENTATION USING MOTION AND CONTEXTUAL CHANGE CONCLUDING REMARKS
Applications to Attentive Vision – Chaotic Analysis of Texture for Segmentation and Classification
Abstract OVERVIEW OF TEXTURE PROCESSING A CHAOS-BASED APPROACH TO THE ANALYSIS OF TEXTURE A CHAOS-BASED APPROACH TO TEXTURE SEGMENTATION A CHAOS-BASED APPROACH TO TEXTURE CLASSIFICATION TYPICAL SEGMENTATION RESULTS OF APPLYING CHAOS TO TEXTURE ANALYSIS TYPICAL CLASSIFICATION RESULTS OF APPLYING CHAOS TO TEXTURE ANALYSIS CONCLUDING REMARKS
Applications to Post-Attentive Vision – Employing Chaos for Image Registration and Object Tracking
Abstract REGISTRATION AND TRACKING OVERVIEW OF ISSUES RELATED TO IMAGE REGISTRATION CHARACTERISTICS OF MEASURES FOR REGISTRATION SIMILARITY TESTING CHARACTERISTICS OF SEARCH SPACES FOR REGISTRATION BEHAVIOR OF SEARCH SPACES UNDER ILLUMINATION CHANGE A CHAOS-BASED ALGORITHM FOR REGISTRATION AND TRACKING TYPICAL RESULTS OF APPLYING CHAOS TO REGISTRATION AND TRACKING CORRELATION-BASED OBJECT TRACKING USING CHAOS IMAGE REGISTRATION FOR EGO-MOTION DETECTION USING CHAOS CONCLUDING REMARKS
More Applications to Post-Attentive Vision – Chaos Theory and Object Recognition
Abstract RECOGNITION AS AN OPTIMZATION PROBLEM CHAOS-BASED NEURAL NETWORKS FOR CLASSIFICATION AND OBJECT RECOGNITION CHAOS-BASED GENETIC ALGORITHMS FOR CLASSIFICATION AND OBJECT RECOGNITION TYPICAL RESULTS OF APPLYING CHAOS TO OBJECT RECOGNITION CONCLUDING REMARKS
REFERENCES
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