Methods for face detection and adaptive face recognition

Methods for face detection and adaptive face recognition

The focus of this thesis is on facial biometrics; specifically in the problems of face detection and face recognition. Despite intensive research over the last 20 years, the technology is not foolproof, which is why we do not see use of face recognition systems in critical sectors such as banking. I...

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Bibliographic Details
Main Author: Pavani, Sri-Kaushik
Other Authors: Delgado Gómez, David
Format: Doctoral Thesis
Language:English
Published: Universitat Pompeu Fabra 2010
Subjects:
Fisher's LDA
Gaussian weak classifiers
Weak classifier
Variance normalization
Transductive reasoning
training complexity
rejection cascade
fusion of p-values
OSTCM-kNN classifier
integrated Performance Primitives
impostor detection
haar-like features
fusion of shape and texture
face recognition system
delaunay triangulation
MIT+CMU face database
YT database
GEFA database
temporal confidence
segmentation confidence
face detector confidence
classification confidence
laplacian clutter model
clutter models
changes in facial appearance
face segmentation
face normalization
face detection
automatic face recognition system
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Online Access:http://hdl.handle.net/10803/7567
http://nbn-resolving.de/urn:isbn:9788469382998

Internet

http://hdl.handle.net/10803/7567
http://nbn-resolving.de/urn:isbn:9788469382998

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