Discriminative sift features for face recognition

Canadian Conference on Electrical and Computer Engineering

Volumn , Issue , 2009, Pages 27-30

  Majumdar, A ^a   Ward, R K ^a  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

Computer vision; Face recognition

Indexed keywords

COMPUTATIONAL EFFORT; FACIAL EXPRESSIONS; HEAD POSE; HIGH DIMENSIONS; PARTIAL OCCLUSIONS; PROJECTION TRANSFORMATION; RECOGNITION ACCURACY; RECOGNITION METHODS; ROTATION TRANSFORMATION; SCALE INVARIANT FEATURE TRANSFORMS; SIFT FEATURE;

COMPUTATIONAL COMPLEXITY; COMPUTER VISION; OBJECT RECOGNITION; THREE DIMENSIONAL;

FACE RECOGNITION;

EID: 70350214786     PISSN: 08407789     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CCECE.2009.5090085     Document Type: Conference Paper

References (6)

1. D. Lowe. Distinctive image features from scale-invariant keypoints. Int. Journal of Computer Vision, 60(2):91-110, 2004
2. M. Aly, "Face Recognition using SIFT Features", http://www.vision.caltech.edu/malaa/research.php
3. M. Bicego, A. Lagorio, E. Grosso and M. Tistarelli, "On the Use of SIFT Features for Face Authentication," Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06), 2006
4. J. Luo, Y. Ma, E. Takikawa, S. Lao, M. Kawade, and B. L. Lu, "Person-Specific SIFT Features for Face Recognition", International Conference on Acoustic, Speech, and Signal Processing (ICASSP), 2007
5. G. Dorko and C. Schmid, "Object class recognition using discriminative local features". IEEE PAMI, (Submitted), 2004.
6. http://www.face-rec.org/databases