DocumentCode :
3184700
Title :
Evolutionary granular approach for recognizing faces altered due to plastic surgery
Author :
Bhatt, Himanshu S. ; Bharadwaj, Samarth ; Singh, Richa ; Vatsa, Mayank ; Noore, Afzel
Author_Institution :
IIIT Delhi, Delhi, India
fYear :
2011
fDate :
21-25 March 2011
Firstpage :
720
Lastpage :
725
Abstract :
Recognizing faces with altered appearances is a challenging task and is only now beginning to be addressed by researchers. The paper presents an evolutionary granular approach for matching face images that have been altered by plastic surgery procedures. The algorithm extracts discriminating information from non-disjoint face granules obtained at different levels of granularity. At the first level of granularity, both pre and post-surgery face images are processed by Gaussian and Laplacian operators to obtain face granules at varying resolutions. The second level of granularity divides face image into horizontal and vertical face granules of varying size and information content. At the third level of granularity, face image is tessellated into non-overlapping local facial regions. An evolutionary approach is proposed using genetic algorithm to simultaneously optimize the selection of feature extractor for each face granule along with finding optimal weights corresponding to each face granule for matching. Experiments on pre and post-plastic surgery face images show that the proposed algorithm provides at least 15% better identification performance as compared to other face recognition algorithms.
Keywords :
face recognition; genetic algorithms; image matching; surgery; Gaussian operators; Laplacian operators; evolutionary granular approach; face image matching; face recognition; feature extractor; genetic algorithm; plastic surgery; Accuracy; Biological cells; Databases; Face recognition; Feature extraction; Plastics; Surgery;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automatic Face & Gesture Recognition and Workshops (FG 2011), 2011 IEEE International Conference on
Conference_Location :
Santa Barbara, CA
Print_ISBN :
978-1-4244-9140-7
Type :
conf
DOI :
10.1109/FG.2011.5771337
Filename :
5771337
Link To Document :
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