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Intelligent Computer Vision and Image Processing

Book Description

Innovations in computer vision technology continue to advance the applications and design of image processing and its influence on multimedia applications. Intelligent Computer Vision and Image Processing: Innovation, Application, and Design provides methods and research on various disciplines related to the science and technology of machines. This reference source is essential for academicians, researchers, and practitioners interested in the latest developments and innovations in computer science, education, and security.

Table of Contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Editorial Advisory Board and List of Reviewers
    1. Associate Editors
    2. List of Reviewers
  5. Preface
    1. INTRODUCTION
    2. COMPUTER VISION
    3. IMAGE PROCESSING
    4. LATEST ADVANCES
    5. CONCLUSION
  6. Chapter 1: Adapted Approach for Omnidirectional Egomotion Estimation
    1. ABSTRACT
    2. INTRODUCTION
    3. 1. ADAPTED MOTION FIELD ESTIMATION
    4. 2. EGOMOTION ESTIMATION FROM MOTION FIELD ON THE SPHERE
    5. 3. EXPERIMENTS AND RESULTS
    6. 4. CONCLUSION
  7. Chapter 2: Adaptive Kansei Search Method Using User’s Subjective Criterion Deviation
    1. ABSTRACT
    2. INTRODUCTION
    3. SCD ELIMINATION SEARCH
    4. EVALUATION IN PERFUME SEARCH SITE
    5. CONCLUSION
  8. Chapter 3: Chase-Like Decoding of Arithmetic Codes with Applications
    1. ABSTRACT
    2. INTRODUCTION
    3. ARITHMETIC CODING OVERVIEW
    4. CHASE-LIKE ARITHMETIC DECODING
    5. LOSSLESS IMAGE COMPRESSION AND TRANSMISSION
    6. SPIHT IMAGE TRANSMISSION
    7. JOINT SOURCE/CHANNEL ITERATIVE DECODING OF AC AND RSCC
    8. CONCLUSION
  9. Chapter 4: Automatic Facial Expression Recognition by Facial Parts Location with Boosted-LBP
    1. ABSTRACT
    2. INTRODUCTION
    3. METHODOLOGY: OVERVIEW
    4. CLASSIFICATION EXPERIMENTS
    5. CONCLUSION
  10. Chapter 5: An Evaluation Framework and a Benchmark for Multi/Hyperspectral Image Compression
    1. ABSTRACT
    2. INTRODUCTION
    3. COMPRESSION APPROACHES
    4. COMPRESSION EVALUATION FRAMEWORK
    5. EXPERIMENTS AND RESULTS
    6. SPEED AND MEMORY CONSUMPTION COMPARISON
    7. DISCUSSION
    8. CONCLUSION
  11. Chapter 6: A Marked Point Process Model Including Strong Prior Shape Information Applied to Multiple Object Extraction from Images
    1. ABSTRACT
    2. INTRODUCTION
    3. CONCLUSION AND PERSPECTIVES
  12. Chapter 7: A Robust Embedding Scheme and an Efficient Evaluation Protocol for 3D Meshes Watermarking
    1. ABSTRACT
    2. INTRODUCTION
    3. MESH WATERMARKING OVERVIEW
    4. PROPOSED APPROACH OF 3D WATERMARKING
    5. EXPERIMENTAL RESULTS
    6. CONCLUSION
  13. Chapter 8: Direct 3D Information Determination in an Uncalibrated Stereovision System by Using Evolutionary Algorithms
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND ON THE EPIPOLAR GEOMETRY
    4. DESCRIPTION OF THE PROPOSED EVOLUTIONARY-BASED 3D RECONSTRUCTION METHOD
    5. EXPERIMENTS
    6. CONCLUSION AND FUTURE WORK
  14. Chapter 9: Construction of 3D Triangles on Dupin Cyclides
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. BACKGROUND
    4. 3. CONVERSION OF A BÉZIER SURFACE INTO A DUPIN CYCLIDE PATCH
    5. 4. CONSTRUCTIONS OF 3D TRIANGLES
    6. 5. CONCLUSION
  15. Chapter 10: Evaluation Approach of Arabic Character Recognition
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. GENETIC ALGORITHM
    4. 3. REPRESENTATION
    5. 4. SYSTEM IMPLEMENTATION
    6. 5. EXPERIMENTATION
    7. 6. COMPARATIVE STUDY
    8. 7. CONCLUSION
  16. Chapter 11: Edge Detection by Maximum Entropy
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. EDGE DETECTION BY OPTIMAL ENTROPY
    4. 3. EXPERIMENTAL RESULTS
    5. 4. DISCUSSION
    6. 5. CONCLUSION
  17. Chapter 12: Sliding Window-Based Fast Corner Matching Palmprint Authentication
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. PALMPRINT AUTHENTICATION SYSTEM
    4. 3. FEATURE EXTRACTION
    5. 4. FEATURE MATCHING USING HAMMING DISTANCE SIMILARITY MEASUREMENT BY SLIDING WINDOW METHOD
    6. 5. TRAINING AND TESTING SYSTEM
    7. 6. EXPERIMENTAL SETUP
    8. 7. CONCLUSION
  18. Chapter 13: Faster Ranking Using Extrapolation Techniques
    1. ABSTRACT
    2. INTRODUCTION
    3. THEORETICAL BACKGROUND
    4. QUADRATIC EXTRAPOLATION
    5. POWER EXTRAPOLATION
    6. INSIGHTS INTO EXTRAPOLATION
    7. EXPERIMENTAL EVALUATIONS
    8. EXPERIMENTAL SETUP
    9. THE QUERIES
    10. QUERY STATISTICS
    11. MEASURES
    12. CONVERGENCE
    13. EXPERIMENTAL RESULTS
    14. CONCLUSION AND FUTURE WORK
  19. Chapter 14: A Semi-Supervised Metric Learning for Content-Based Image Retrieval
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. KERNEL-BASED SIMILARITY MODEL
    4. 3. SEMI-SUPERVISED METRIC LEARNING STRATEGY
    5. 4. EXPERIMENTAL RESULTS
    6. 5. CONCLUSION
  20. Chapter 15: Image Compression Technique for Low Bit Rate Transmission
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. DESCRIPTION OF THE PROPOSED TECHNIQUE
    4. 3. PERFORMANCE ANALYSIS
    5. 4. CONCLUSION
    6. APPENDIX A
  21. Chapter 16: Defect Detection Approach Based on Combination of Histogram Segmentation and Probabilistic Estimation Technique
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. HISTOGRAM SEGMENTATION
    4. 3. PROBABILISTIC ESTIMATION
    5. 4. PROPOSED APPROACH
    6. 5. RESULTS
    7. 6. CONCLUSION
  22. Chapter 17: Rotation Invariant Texture Image Retrieval with Orthogonal Polynomials Model
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. PROPOSED IMAGE RETRIEVAL SYSTEM
    4. 3. PROPOSED FEATURE VECTOR EXTRACTION
    5. 4. SIMILARITY MEASURE
    6. 5. MEASURE OF RETRIEVAL PERFORMANCE
    7. 6. EXPERIMENTS AND RESULTS
    8. 7. CONCLUSION
    9. APPENDIX
  23. Chapter 18: Character Segmentation Scheme for OCR System
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. NATURE OF MYANMAR SCRIPT
    4. THEORY AND RELATED WORK
    5. IMPLEMENTATION MODEL
    6. 5. EXPERIMENTAL RESULT
    7. 6. CONCLUSION AND FUTURE WORK
  24. Chapter 19: Detecting Corners for 3D Objects
    1. ABSTRACT
    2. INTRODUCTION
    3. 2. DETECTING CORNER POINTS IN PLANAR OBJECTS
    4. 3. DETECTING CORNER POINTS IN 3D OBJECTS
    5. DEMONSTRATION
    6. CONCLUSION
  25. Compilation of References
  26. About the Contributors