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Face recognition : methods, applications and technology /
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
New York :
Nova Science Publishers, Inc.,
[2012]
|
| Colección: | Computer science, technology and applications.
|
| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- ""FACE RECOGNITION METHODS, APPLICATIONS AND TECHNOLOGY ""; ""FACE RECOGNITION METHODS, APPLICATIONS AND TECHNOLOGY ""; ""CONTENTS ""; ""PREFACE ""; ""ACCURACY OF FACE RECOGNITION""; ""ABSTRACT ""; ""INTRODUCTION ""; ""FAMILIAR VERSUS UNFAMILIAR FACE PROCESSING ""; ""ACCURACY OF UNFAMILIAR FACE MEMORY ""; ""RECOGNITION MEMORY ""; ""EYE-WITNESS MEMORY""; ""IMMEDIATE MEMORY ""; ""CHANGE BLINDNESS ""; ""ACCURACY OF UNFAMILIAR FACE PERCEPTION ""; ""INDIVIDUAL DIFFERENCES IN UNFAMILIAR FACE RECOGNITION""; ""ACCURACY OF FAMILIAR FACE RECOGNITION""; ""CONCLUSION ""; ""REFERENCES ""
- ""EXTENDED 2-D PCA FOR FACE RECOGNITION: ANALYSIS, ALGORITHMS, AND PERFORMANCE ENHANCEMENT """"ABSTRACT ""; ""1. INTRODUCTION""; ""2. AN OVERVIEW OF PCA AND 2-D PCA METHODS ""; ""2.1. PCA ""; ""2.2. Two-Dimensional PCA ""; ""3. AN EXTENDED 2-D PCA TECHNIQUE FOR FACE RECOGNITION""; ""3.1. A Closer Look at 2-D PCA � a Row Oriented Processing Technique ""; ""3.2. A Column Oriented 2-D PCA ""; ""3.3. An Extended 2-D PCA (E-2DPCA) Technique ""; ""3.4. Classification Measures ""; ""4. PRE-PROCESSING TECHNIQUES FOR PERFORMANCE ENHANCEMENT""; ""4.1. Perfect Histogram Matching (PHM)""
- ""4.2. De-Noising of Face Images by DWT and TV Minimization """"4.3. Dealing with Face Occlusions ""; ""4.4. An Enhanced Face Recognition System""; ""5. EXPERIMENTAL RESULTS ""; ""5.1. The Databases ""; ""5.2. Experimental Results of E-2DPCA � a Case Study ""; ""5.3. Additional Results for PCA, 2DPCA and E-2DPCA ""; ""5.4. Performance of an Enhanced Face Recognition System ""; ""5.5. Robustness of the Enhanced Face Recognition System to Noise and Face Occlusions""; ""CONCLUSION ""; ""REFERENCES ""
- ""FACE RECOGNITION BASED ON COMPOSITE CORRELATION FILTERS: ANALYSIS OF THEIR PERFORMANCES """"ABSTRACT ""; ""1. INTRODUCTION ""; ""2. SOME PRELIMINARY CONSIDERATIONS AND RELATION TO PREVIOUS WORK ""; ""3. A BRIEF OVERVIEW OF CORRELATION FILTERS ""; ""3.1. Adapted Filter (Ad) ""; ""3.2. Phase-Only Filter (POF) ""; ""3.3. Binary Phase-Only Filter (BPOF) ""; ""3.4. Inverse Filter (IF) ""; ""3.5. Compromise Optimal Filter (OT) ""; ""3.6. Classical Composite Filter (COMP) ""; ""3.7. Segmented Composite Filter (SPOF) ""; ""3.8. Minimum Average Correlation Energy (MACE) ""
- ""3.9. Amplitude-Modulated Phase-Only Filter (AMPOF) """"3.10. Optimal Trade-off MACH (OT MACH) ""; ""3.11. Asymmetric Segmented Phase Only Filter (ASPOF) ""; ""4. COMPARATIVE STUDY OF COMPOSITE CORRELATIONS FILTERS WITH BINARY IMAGES""; ""4.1. Adapted Composite Filter ""; ""4.2. Composite POF ""; ""4.3. Composite Binary POF""; ""4.4. Inverse Composite Filter ""; ""4.5. Robustness against Noise ""; ""4.6. Optimized Composite Filters ""; ""CONCLUSION ""; ""ACKNOWLEDGMENTS ""; ""REFERENCES ""; ""FACE RECOGNITION EMPLOYING PCA BASED ARTIFICIAL IMMUNE NETWORKS ""; ""ABSTRACT ""