VISION: ITS OPTICAL DEFECTS, AND THE ADAPTATION OF SPECTACLES

By OLIVIA HERNANDEZ

CONTENTS PART I LOCAL BINARY PATTERN OPERATORS BACKGROUND THE ROLE OF TEXTURE IN COMPUTER VISION MOTIVATION AND BACKGROUND FOR LBP A BRIEF HISTORY OF LBP OVERVIEW OF THE BOOK REFERENCES LOCAL BINARY PATTERNS FOR STILL IMAGES BASIC LBP DERIVATION OF THE GENERIC LBP OPERATOR MAPPINGS OF THE LBP LABELS: UNIFORM PATTERNS ROTATIONAL INVARIANCE ROTATION INVARIANT LBP ROTATION INVARIANCE USING HISTOGRAM TRANSFORMATIONS COMPLEMENTARY CONTRAST MEASURE NON-PARAMETRIC CLASSI?CATION PRINCIPLE MULTISCALE LBP CENTER-SYMMETRIC LBP OTHER LBP VARIANTS PREPROCESSING NEIGHBORHOOD TOPOLOGY THRESHOLDING AND ENCODING MULTISCALE ANALYSIS HANDLING ROTATION HANDLING COLOR FEATURE SELECTION AND LEARNING COMPLEMENTARY DESCRIPTORS OTHER METHODS INSPIRED BY LBP CONTENTS SPATIOTEMPORAL LBP BASIC VLBP ROTATION INVARIANT VLBP LOCAL BINARY PATTERNS FROM THREE ORTHOGONAL PLANES ROTATION INVARIANT LBP-TOP PROBLEM DESCRIPTION ONE DIMENSIONAL HISTOGRAM FOURIER LBP-TOP (1DHFLBP-TOP) OTHER VARIANTS OF SPATIOTEMPORAL LBP PART II ANALYSIS OF STILL IMAGES TEXTURE CLASSI?CATION AND SEGMENTATION TEXTURE CLASSI?CATION TEXTURE IMAGE DATASETS TEXTURE CLASSI?CATION EXPERIMENTS UNSUPERVISED TEXTURE SEGMENTATION OVERVIEW OF THE SEGMENTATION ALGORITHM SPLITTING AGGLOMERATIVE MERGING PIXELWISE CLASSI?CATION EXPERIMENTS DISCUSSION DESCRIPTION OF INTEREST REGIONS RELATED WORK CS-LBP DESCRIPTOR IMAGE MATCHING EXPERIMENTS MATCHING RESULTS APPLICATIONS IN IMAGE RETRIEVAL AND 3D RECOGNITION BLOCK-BASED METHODS FOR IMAGE RETRIEVAL DESCRIPTION OF THE METHOD RECOGNITION OF 3D TEXTURED SURFACES TEXTURE DESCRIPTION BY LBP HISTOGRAMS USE OF MULTIPLE HISTOGRAMS AS TEXTURE MODELS EXPERIMENTS WITH CURET TEXTURES EXPERIMENTS WITH SCENE IMAGES CONTENTS PART III MOTION ANALYSIS RECOGNITION AND SEGMENTATION OF DYNAMIC TEXTURES DYNAMIC TEXTURE RECOGNITION MEASURES MULTI-RESOLUTION ANALYSIS EXPERIMENTAL SETUP RESULTS FOR VLBP RESULTS FOR LBP-TOP EXPERIMENTS OF ROTATION INVARIANT LBP-TOP TO VIEW VARIATIONS DYNAMIC TEXTURE SEGMENTATION FEATURES FOR SEGMENTATION SEGMENTATION PROCEDURE BACKGROUND SUBTRACTION AN LBP-BASED APPROACH MODI?CATIONS OF THE LBP OPERATOR BACKGROUND MODELING FOREGROUND DETECTION RECOGNITION OF ACTIONS STATIC TEXTURE BASED DESCRIPTION OF MOVEMENTS DYNAMIC TEXTURE METHOD FOR MOTION DESCRIPTION HUMAN DETECTION WITH BACKGROUND SUBTRACTION ACTION DESCRIPTION MODELING TEMPORAL INFORMATION WITH HIDDEN MARKOV MODELS PART IV FACE ANALYSIS FACE ANALYSIS USING STILL IMAGES 10 1 FACE DESCRIPTION USING LBP 10 2 EYE DETECTION CONTENTS 10 3 FACE DETECTION 10 4 FACE RECOGNITION 10 5 FACIAL EXPRESSION RECOGNITION 10 6 LBP IN OTHER FACE RELATED TASKS 10 7 CONCLUSION FACE ANALYSIS USING IMAGE SEQUENCES 11 1 FACIAL EXPRESSION RECOGNITION USING SPATIOTEMPORAL LBP 11 2 FACE RECOGNITION FROM VIDEOS 11 3 GENDER CLASSI?CATION FROM VIDEOS 11 4 DISCUSSION VISUAL RECOGNITION OF SPOKEN PHRASES 12 1 RELATED WORK 12 2 SYSTEM OVERVIEW 12 3 LOCAL SPATIOTEMPORAL DESCRIPTORS FOR VISUAL INFORMATION 12 4 EXPERIMENTS 12 4 1 DATASET DESCRIPTION 12 4 2 EXPERIMENTAL RESULTS 12 4 3 BOOSTING SLICE FEATURES 12 5 DISCUSSION PART V LBP IN VARIOUS COMPUTER VISION APPLICATIONS LBP IN DIFFERENT APPLICATIONS DETECTION AND TRACKING OF OBJECTS BIOMETRICS EYE LOCALIZATION AND GAZE TRACKING FACE RECOGNITION IN UNCONSTRAINED ENVIRONMENTS VISUAL INSPECTION BIOMEDICAL APPLICATIONS TEXTURE AND VIDEO TEXTURE SYNTHESIS STEGANOGRAPHY AND IMAGE FORENSICS VIDEO ANALYSIS SYSTEMS FOR PHOTO MANAGEMENT AND INTERACTIVE TV EMBEDDED VISION SYSTEMS AND SMART CAMERAS