Symmetry-Based salient points detection in face images

Authors:
Michał Choraś;Tomasz Andrysiak
Affiliations:
Image Processing Group, Institute of Telecommunications, University of Technology & Agriculture, Bydgoszcz;Image Processing Group, Institute of Telecommunications, University of Technology & Agriculture, Bydgoszcz
Venue:
ICAISC'06 Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing
Year:
2006

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Abstract

In the article we propose the automatic method of symmetry-based salient points detection in face images. The proposed method is based on the modified Discrete Symmetry Transform. Firstly, multiresolution Gabor Wavelets filtration is performed. Secondly, DST is used in order to detect symmetry-based salient points in face images. Then, having automatically extracted a number of salient points, further processing including feature extraction for various applications is performed. Finally, on the basis of the extracted feature vectors, face recognition in a biometrics system can be performed.