A Pose Recovery Algorithm to Minimize the Effects of Pose Variation on the Matching Performance of Elastic Bunch Graph Based Multiview Face Recognition System

Author

Mazumdar, D. ; Chanda, K. ; Bhattacharya, M. ; Mitra, S.

fYear

2007

fDate

5-7 March 2007

Firstpage

377

Lastpage

381

Abstract

Multiview face recognition is a challenging task of deformable pattern recognition. Machine recognition of human from his/her facial images available at any pose, intensity and expression is the ultimate goal of multiview face recognition system. In the present work the effect of variation of poses on the overall performance of face recognition engine based on elastic bunch graph matching technique is studied using K-means clustering algorithm. A geometry-based pose recovery algorithm is proposed to improve the performance of the system

Keywords

computational geometry; face recognition; graph theory; image matching; pattern clustering; pose estimation; K-means clustering algorithm; deformable pattern recognition; elastic bunch graph matching technique; face recognition engine; facial images; geometry-based pose recovery algorithm; machine recognition; multiview face recognition system; pose variation; Clustering algorithms; Data mining; Face detection; Face recognition; Humans; Image databases; Lighting; Pattern recognition; Skin; Spatial databases;

fLanguage

English

Publisher

ieee

Conference_Titel

Computing: Theory and Applications, 2007. ICCTA '07. International Conference on

Conference_Location

Kolkata

Print_ISBN

0-7695-2770-1

Type

conf

DOI

10.1109/ICCTA.2007.18

Filename

4127399