Title :
Face Recognition at-a-Distance Using Texture, Dense- and Sparse-Stereo Reconstruction
Author :
Rara, Ham M. ; Ali, Asem A. ; Elhabian, Shireen Y. ; Starr, Thomas L. ; Farag, Aly A.
Author_Institution :
Univ. of Louisville, Louisville, KY, USA
Abstract :
This paper introduces a framework for long-distance face recognition using dense and sparse stereo reconstruction, with texture of the facial region. Two methods to determine correspondences of the stereo pair are used in this paper: (a) dense global stereo-matching using maximum-a-posteriori Markov Random Fields (MAP-MRF) algorithms and (b) Active Appearance Model (AAM) fitting of both images of the stereo pair and using the fitted AAM mesh as the sparse correspondences. Experiments are performed using combinations of different features extracted from the dense and sparse reconstructions, as well as facial texture. The cumulative rank curves (CMC), which are generated using the proposed framework, confirms the feasibility of the proposed work for long distance recognition of human faces.
Keywords :
Markov processes; face recognition; feature extraction; image matching; image reconstruction; image texture; stereo image processing; active appearance model; cumulative rank curves; dense-stereo reconstruction; face recognition; feature extraction; global stereo-matching; long-distance face recognition; maximum-a-posteriori Markov random fields; sparse-stereo reconstruction; texture reconstruction; Databases; Face; Face recognition; Image reconstruction; Probes; Stereo image processing; Three dimensional displays;
Conference_Titel :
Pattern Recognition (ICPR), 2010 20th International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-1-4244-7542-1
DOI :
10.1109/ICPR.2010.304