TAEF: A Cross-Distance/Environment Face Recognition Method

Chun-Ting Huang, Zhengning Wang, C.-C. Jay Kuo; Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2015, pp. 1-8

Abstract


A solution to long distance outdoor face recognition is presented in this work. The proposed method, called the Two-Stage Alignment/Enhancement Filtering (TAEF) system, consists of three main components: a cross-distance face alignment technique, a cross-environment face enhancement technique, and a two-stage filtering system. Given a probe image, the procedure of face alignment, enhancement and matching is executed against all gallery images to eliminate unlikely candidates at once at the first stage for efficiency. Then, the procedure is conducted for every individual probe/gallery image pair for higher accuracy at the second stage. The first rank recognition rates of the TAEF method are 100\%, 100\% and 97\% for 60-, 100- and 150-meter visible-light images in the LDHF database, respectively.

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[bibtex]
@InProceedings{Huang_2015_CVPR_Workshops,
author = {Huang, Chun-Ting and Wang, Zhengning and Jay Kuo, C.-C.},
title = {TAEF: A Cross-Distance/Environment Face Recognition Method},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2015}
}