Paper Info
Title
Use of multiple contexts for real time face identification
Abstract
We present the design of face identification system that can run in real time environment. We use multiple contexts to optimize the face recognition performance in real time. Initially different illumination environments are modeled as context using unsupervised learning and accumulated as context knowledge. Optimization parameters for each context are learned using Genetic Algorithm (GA).GA search the optimization parameter so as to minimize the effect of illumination variation. These weight parameters are used during similarity match of face images in real time recognition. Gabor wavelet is used for facial feature representation. Experiment is done using real time face database containing images taken under various illumination conditions. The proposed context aware method has been shown to provide superior performance than the method without using context awareness.
Year
DOI
Venue
2007
10.1007/978-3-540-71457-6_39
MIRAGE
Keywords
Field
DocType
face recognition performance,face image,multiple context,proposed context,real time face identification,face identification system,real time environment,context knowledge,optimization parameter,real time,context awareness,genetic algorithm,unsupervised learning,gabor wavelets,face recognition
Computer vision,Facial recognition system,Pattern recognition,Computer science,Gabor wavelet,Identification system,Context awareness,Unsupervised learning,Artificial intelligence,Genetic algorithm
Conference
Volume
ISSN
Citations 
4418
0302-9743
0
PageRank 
References 
Authors
0.34
11
4
Name
Order
Citations
PageRank
Suman Sedai1389.76
Eun Jin Koh232.46
Pankaj Raj Dawadi311.04
Phill Kyu Rhee46024.82