Title Statements
- Full title :Face recognition : methods, applications and technology / Adamo Quaglia and Calogera M. Epifano, editors.
Edition Statements
- Publication Date:©2012.
Publication Statements
- Publisher(s):Nova Science
- Place of Publication:New York
- Language:eng
- Publication Date:©2012.
Notes
Titre de l'écran-titre (visionné le 24 févr. 2015).
TRAITEMENT SOMMAIRE.
The Physical Object
- Description:1 ressource en ligne (vi, 238 p.)
Edition Identifiers
- oclc:ocn904299720
- LC Classification:TA1650
- Dewey Decimal:006.3/7
Table of Contents
""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 offamiliar face recognition""; ""conclusion ""; ""references ""
""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 RECOGNITIONEMPLOYING PCA BASED ARTIFICIAL IMMUNE NETWORKS ""; ""ABSTRACT ""
""4.2. De-Noising of Face Images by …
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