Improving shape-based face recognition by means of a supervised discriminant Hausdorff distance

IEEE International Conference on Image Processing

Volumn 3, Issue , 2003, Pages 901-904

  Alba, J L ^a   Pujol, A ^b   Lopez A ^c   Villanueva, J J ^c  

^a UNIVERSITY OF VIGO   (Spain)

^b Digital Pointer MVT ^*

^c UNIVERSITAT AUTÒNOMA DE BARCELONA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; DATABASE SYSTEMS; EIGENVALUES AND EIGENFUNCTIONS; IMAGE ANALYSIS; PATTERN MATCHING; VECTORS;

LINEAR ENCODING METHODOLOGIES;

FACE RECOGNITION;

EID: 0344309237     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

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2. P.N. Belhumeur, J.P. Hespanha, and D.J. Kriegman, "Eigenfaces vs. fisherfaces: Recognition using class-specific linear projection," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 19, no. 7, pp. 711-720, July 1997.
3. C. Liu and H. Wechsler, "Face recognition using evolutionary pursuit," in ECCV98, 1998, pp. xx-yy.
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6. K.J. Jesorsky, O. Kirchberg and W. Frischholz, "Robust face detection using the hausdorff distance," in Third International conference on Audio and Video based Biometric Person Authentication. 2001, pp. 90-95, Springer, Lecture Notes in Computer Science.
7. B. Takacs, "Comparing face images using the modified hausdorff distance," Pattern Recognition, vol. 31, no. 12, pp. 1873-1881, December 1998.
8. M.P. Dubuisson and A.K. Jain, "A modified hausdorff distance for object matching," in Internation Conference on Pattern Recognition, 1994, pp. A:566-568.
9. A.M. Martinez and R. Benavente, "The ar face database.," Tech. Rep. 24, CVC, 1998.