Face reconstruction with low resolution facial images by feature vector projection in kernel space

Sang Woong Lee, Jooyoung Park, Seong Whan Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In spite of increasing interest in person identification based on biometrics, face recognition technology has not been applied into real world. It is caused by appearance changes such as illumination, noise, degradation, and occlusion. Among these problems, we focus on the low resolution problem and propose a new face recognition method of extending the SVDD(support vector data description). In the proposed method, we first solve the SVDD problem for the data belonging to the given prototype facial images, and model the data region for the normal faces as the ball resulting from the SVDD problem. Next, for each input facial image in low resolution, we project its feature vector onto the decision boundary of the SVDD ball so that it can be tailored enough to belong to the normal region. Finally, we synthesize facial images which are obtained from the preimage of the projection, and then perform the face recognition. The applicability of the proposed method is illustrated via some experiments using general recognition algorithm.

Original languageEnglish
Title of host publicationProceedings - 18th International Conference on Pattern Recognition, ICPR 2006
Pages1179-1182
Number of pages4
DOIs
Publication statusPublished - 2006
Event18th International Conference on Pattern Recognition, ICPR 2006 - Hong Kong, China
Duration: 2006 Aug 202006 Aug 24

Publication series

NameProceedings - International Conference on Pattern Recognition
Volume3
ISSN (Print)1051-4651

Other

Other18th International Conference on Pattern Recognition, ICPR 2006
CountryChina
CityHong Kong
Period06/8/2006/8/24

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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  • Cite this

    Lee, S. W., Park, J., & Lee, S. W. (2006). Face reconstruction with low resolution facial images by feature vector projection in kernel space. In Proceedings - 18th International Conference on Pattern Recognition, ICPR 2006 (pp. 1179-1182). [1699736] (Proceedings - International Conference on Pattern Recognition; Vol. 3). https://doi.org/10.1109/ICPR.2006.533