Robust face detection using the Hausdorff distance

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2091, Issue , 2001, Pages 90-95

  Jesorsky, Oliver ^a   Kirchberg, Klaus J ^a   Frischholz, Robert W ^a  

^a BioID AG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

DIGITAL IMAGE; EDGE-BASED; EFFICIENT IMPLEMENTATION; FACE MODELS; GRAY SCALE; HAUSDORFF DISTANCE; HUMAN FACES; LOCALIZATION OF FACES; REAL-TIME APPLICATION; SHAPE COMPARISON; SIMILARITY MEASURE; STILL IMAGES; TEST SETS; TWO-STEP PROCESS; VALIDATION MEASUREMENTS;

AUTHENTICATION; BIOMETRICS; COMPUTER GRAPHICS; GEOMETRY;

FACE RECOGNITION;

EID: 82055176878     PISSN: 03029743     EISSN: 16113349     Source Type: Journal    
DOI: 10.1007/3-540-45344-x_14     Document Type: Article

References (5)

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3. H. Rowley, S. Baluja, and T. Kanade. Neural network-based face detection. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition, pages 203-207, San Francisco, CA, 1996.
4. W. Rucklidge. Efficient Visual Recognition Using the Hausdorff Distance, volume 1173 of Lecture notes in computer science. Springer, 1996.
5. J. Terrillon, M. David, and S. Akamatsu. Automatic detection of human faces in natural scene images by use of a skin color model and of invariant moments. In Proc. of the Third International Conference on Automatic Face and Gesture Recognition, pages 112-117, Nara, Japan, 1998.