Paper Info
Title
Region-based representations for face recognition
Abstract
Face recognition is one of the most important applied aspects of visual perception. To create an automated face-recognition system, the fundamental challenge is that of finding useful features. In this paper, we suggest a new class of image features that may be a useful addition to the set of representational tools for face-recognition tasks. Our proposal is motivated by the observation that rather than relying exclusively on traditional edge-based image representations, it may be useful to also employ region-based strategies that can compare noncontiguous image regions. The spatial homogeneity within regions allows for enhanced tolerance to geometric distortions and greater freedom in the choice of sample points. We first show that under certain circumstances, comparisons between spatially disjoint image regions are, on average, more valuable for recognition than features that measure local contrast. Second, we learn “optimal” sets of region comparisons for recognizing faces across varying pose and illumination. We propose a representational primitive---the dissociated dipole---that permits an integration of edge-based and region-based representations. This primitive is then evaluated using the FERET database of face images and then compared to established local and global algorithms.
Year
DOI
Venue
2006
10.1145/1190036.1190038
TAP
Keywords
DocType
Volume
face image,face recognition,spatially disjoint image region,useful feature,additional key words and phrases: face recognition,image feature,automated face-recognition system,useful addition,face-recognition task,region-based representation,noncontiguous image region,traditional edge-based image representation,visual perception,image features
Journal
3
Issue
ISSN
Citations 
4
1544-3558
4
PageRank 
References 
Authors
0.42
19
2
Name
Order
Citations
PageRank
Benjamin J. Balas122914.65
Pawan Sinha2686176.04