This paper presents a novel face recognition technique with graph topology drawn on scale invariant feature transform (SIFT) features and is compared with all the available well known techniques on SIFT features, and elastic bunch graph matching (EBGM) technique drawn on gabor wavelet feature. IITK face database is used for evaluation purpose. Test results show that the proposed graph matching technique will be an appropriate one for face recognition. Finally, the test results have been compared with the results found on BANCA face database following MC protocol only.
Graph application on face for personal authentication and recognition / Tistarelli, Massimo; Kisku, Dakshina Ranjan; Rattani, Ajita; Gupta, Phalguni. - (2008), pp. 1150-1155. (Intervento presentato al convegno 10th International Conference on Control Automation Robotics and Vision ICARCV 2008) [10.1109/ICARCV.2008.4795683].
Graph application on face for personal authentication and recognition
Tistarelli, Massimo;
2008-01-01
Abstract
This paper presents a novel face recognition technique with graph topology drawn on scale invariant feature transform (SIFT) features and is compared with all the available well known techniques on SIFT features, and elastic bunch graph matching (EBGM) technique drawn on gabor wavelet feature. IITK face database is used for evaluation purpose. Test results show that the proposed graph matching technique will be an appropriate one for face recognition. Finally, the test results have been compared with the results found on BANCA face database following MC protocol only.| File | Dimensione | Formato | |
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