Face recognition: methods, applications and technology
Gespeichert in:
Format: | Elektronisch E-Book |
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Sprache: | English |
Veröffentlicht: |
New York
Nova Science
©2012
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Schriftenreihe: | Computer science, technology and applications
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Schlagworte: | |
Online-Zugang: | FAW01 FAW02 |
Beschreibung: | Includes bibliographical references and index ""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 "" |
Beschreibung: | vi, 238 pages |
ISBN: | 9781611226256 1611226252 9781619426634 1619426633 |
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264 | 1 | |a New York |b Nova Science |c ©2012 | |
300 | |a vi, 238 pages | ||
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490 | 0 | |a Computer science, technology and applications | |
500 | |a Includes bibliographical references and index | ||
500 | |a ""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 "" | ||
500 | |a ""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)"" | ||
500 | |a ""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 "" | ||
500 | |a ""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) "" | ||
500 | |a ""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 "" | ||
650 | 7 | |a COMPUTERS / Computer Vision & Pattern Recognition |2 bisacsh | |
650 | 7 | |a Human face recognition (Computer science) |2 fast | |
650 | 4 | |a Human face recognition (Computer science) | |
650 | 4 | |a Optical character recognition | |
650 | 4 | |a Human face recognition (Computer science) | |
700 | 1 | |a Quaglia, Adamo |e Sonstige |4 oth | |
700 | 1 | |a Epifano, Calogera M. |e Sonstige |4 oth | |
912 | |a ZDB-4-EBA | ||
999 | |a oai:aleph.bib-bvb.de:BVB01-029185896 | ||
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dewey-full | 006.3/7 |
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dewey-ones | 006 - Special computer methods |
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indexdate | 2024-07-10T07:34:45Z |
institution | BVB |
isbn | 9781611226256 1611226252 9781619426634 1619426633 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029185896 |
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physical | vi, 238 pages |
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publishDate | 2012 |
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publisher | Nova Science |
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series2 | Computer science, technology and applications |
spelling | Face recognition methods, applications and technology Adamo Quaglia and Calogera M. Epifano, editors New York Nova Science ©2012 vi, 238 pages txt rdacontent c rdamedia cr rdacarrier Computer science, technology and applications Includes bibliographical references and index ""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 â€? 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 â€? 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 "" COMPUTERS / Computer Vision & Pattern Recognition bisacsh Human face recognition (Computer science) fast Human face recognition (Computer science) Optical character recognition Quaglia, Adamo Sonstige oth Epifano, Calogera M. Sonstige oth |
spellingShingle | Face recognition methods, applications and technology COMPUTERS / Computer Vision & Pattern Recognition bisacsh Human face recognition (Computer science) fast Human face recognition (Computer science) Optical character recognition |
title | Face recognition methods, applications and technology |
title_auth | Face recognition methods, applications and technology |
title_exact_search | Face recognition methods, applications and technology |
title_full | Face recognition methods, applications and technology Adamo Quaglia and Calogera M. Epifano, editors |
title_fullStr | Face recognition methods, applications and technology Adamo Quaglia and Calogera M. Epifano, editors |
title_full_unstemmed | Face recognition methods, applications and technology Adamo Quaglia and Calogera M. Epifano, editors |
title_short | Face recognition |
title_sort | face recognition methods applications and technology |
title_sub | methods, applications and technology |
topic | COMPUTERS / Computer Vision & Pattern Recognition bisacsh Human face recognition (Computer science) fast Human face recognition (Computer science) Optical character recognition |
topic_facet | COMPUTERS / Computer Vision & Pattern Recognition Human face recognition (Computer science) Optical character recognition |
work_keys_str_mv | AT quagliaadamo facerecognitionmethodsapplicationsandtechnology AT epifanocalogeram facerecognitionmethodsapplicationsandtechnology |