I recently took admission in Indian Institute of Technology Kanpur and from here doing engineering degree. Will you provide basic details about the IIT Kanpur Face Database technology also provide me list of books in which I can get the Face Database References?

[prince karak]

Face recognition is one of the most challenging areas in the field of computer vision. Face detection is the first step for face recognition in order to localize and to extract the face region from the background.

Database:

The developed face recognition codes have been tested against the Yale face database B and the ORL face database. standard databases.

A total of about 1200 face images of 78 test subjects with varying illumination and pose variations were used in the project.

References :

Wright, J. and Yi Ma and Mairal, J. and Sapiro, G. and Huang, T.S. and Shuicheng Yan ,
`Robust Face Recognition via Sparse Representation,"
IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2009. pp.597 -604, 2009

Vytautas Perlibakas, Distance measures for PCA-based face recognition
Pattern Recognition Letters, Volume 25, Issue 6, 19 April 2004, Pages 711-724, ISSN 0167-8655, DOI: 10.1016/j.patrec.2004.01.011.

Wendy S. Yambor, Bruce A. Draper and J. Ross Beveridge
Analyzing PCA-based Face Recognition Algorithms: Eigenvector Selection and Distance Measures
EMPIRICAL EVALUATION METHODS IN COMPUTER VISION

DATABASES :
Yale Face DATABASE B
ORL database (AT & T face database)

Contact:

Indian Institute of Technology Kanpur

Kalyanpur

Kanpur -208 016

Telephone Enquiry
Phone: 0512-259 0151

Telephone Unit

BSNL: 0512-259-7200, 7210
Rel: 392-7200, 7210
Tata: 679-7200, 7210