Title
Recognition of Human Faces Based on Fast Computation of Circular Harmonic Components
Abstract
This paper discusses facial recognition as applied to the classification of two-dimensional images and propose a new architecture that allows a fast derivation of compact and invariant features from the Radon space. Our approach has been inspired by the review of feature-based non-connectionist and connectionist models of facial recognition. In the feature based non-connectionist model, a large part of the computational effort is focused on the extraction of facial features or the geometrical encoding of the face and the measurement of statistical parameters to describe their relationship. The connectionist model focuses on two-dimensional intensity values of the facial image allowing the geometrical encoding to be measured implicitly. The connectionist model is thus susceptible to variations in lighting coditions, spatial position and orientation of the images and can result in a poor detection of faces. An additional bottleneck of the connectionist model is the large feature vector size applied to its input that can cause non-convergence problems during traning. The Radon transform is a genetic transformations that is capable of representing shapes and it is used to compute harmonic components from which compact and invariant features can be derived. It is shown in this paper that theses features when applied to a connectionist model result in a system that is capable of achieving high recognition rates and at high significance levels.
Year
DOI
Venue
2000
10.1007/3-540-40063-X_21
ICMI
Keywords
Field
DocType
facial recognition,invariant feature,radon space,fast computation,circular harmonic components,facial image,non-connectionist model,geometrical encoding,facial feature,connectionist model result,high recognition rate,connectionist model,radon transform,feature vector
Statistical parameter,Facial recognition system,Computer vision,Feature vector,Pattern recognition,Computer science,Radon space,Invariant (mathematics),Artificial intelligence,Radon transform,Computation,Encoding (memory)
Conference
Volume
ISSN
ISBN
1948
0302-9743
3-540-41180-1
Citations 
PageRank 
References 
0
0.34
4
Authors
2
Name
Order
Citations
PageRank
Osei Adjei1144.20
Alfred Vella200.34