no code implementations • 2 May 2019 • Rinku Datta Rakshit, Dakshina Ranjan Kisku, Massimo Tistarelli, Phalguni Gupta
Exploiting and extracting distinctive local descriptor from a face image plays a crucial role in face identification task in the presence of a variety of face images including constrained, unconstrained and plastic surgery images.
no code implementations • 12 Apr 2010 • Phalguni Gupta, Dakshina Ranjan Kisku, Jamuna Kanta Sing, Massimo Tistarelli
The face matching strategy is based on matching individual salient facial graph characterized by SIFT features as connected to facial landmarks such as the eyes and the mouth.
no code implementations • 30 Mar 2010 • Dakshina Ranjan Kisku, Hunny Mehrotra, Phalguni Gupta, Jamuna Kanta Sing
Convolution of Gabor filter bank to face images produces Gabor face representations with high dimensional feature vectors.
no code implementations • 2 Feb 2010 • Dakshina Ranjan Kisku, Massimo Tistarelli, Jamuna Kanta Sing, Phalguni Gupta
As for the global matching strategy, all SIFT features are combined together to form a single feature.
no code implementations • 23 Jan 2010 • Dakshina Ranjan Kisku, Hunny Mehrotra, Jamuna Kanta Sing, Phalguni Gupta
Convolution of Gabor filter bank to face images of rotated profile views produce Gabor faces with high dimensional features vectors.