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On matching sketches with digital face images (2010)
| Venue: | In BTAS |
| Citations: | 15 - 0 self |
BibTeX
@INPROCEEDINGS{Bhatt10onmatching,
author = {Himanshu S. Bhatt and Samarth Bharadwaj and Richa Singh and Mayank Vatsa},
title = {On matching sketches with digital face images},
booktitle = {In BTAS},
year = {2010},
pages = {1--7}
}
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Abstract
Abstract — This paper presents an efficient algorithm for matching sketches with digital face images. The algorithm extracts discriminating information present in local facial regions at different levels of granularity. Both sketches and digital images are decomposed into multi-resolution pyramid to conserve high frequency information which forms the dis-criminating facial patterns. Extended uniform circular local binary pattern based descriptors use these patterns to form a unique signature of the face image. Further, for matching, a genetic optimization based approach is proposed to find the optimum weights corresponding to each facial region. The information obtained from different levels of Laplacian pyramid are combined to improve the identification accuracy. Experimental results on sketch-digital image pairs from the CUHK and IIIT-D databases show that the proposed algorithm can provide better identification performance compared to existing algorithms. I.
Keyphrases
digital face image different level genetic optimization face image local facial region multi-resolution pyramid unique signature efficient algorithm optimum weight laplacian pyramid facial region digital image information present identification performance dis-criminating facial pattern uniform circular local binary pattern experimental result high frequency information sketch-digital image pair identification accuracy
