Artificial aging of faces by support vector machines

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

Volumn 3060, Issue , 2014, Pages 499-503

  Wang, Jianning ^a   Ling, Charles X ^a  

^a UNIVERSITY OF WESTERN ONTARIO   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; IMAGE PROCESSING;

AGING EFFECTS; ARTIFICIAL AGING; FACIAL FEATURE POINTS; FACIAL IMAGES; SUPPORT VECTOR MACHINE (SVMS);

SUPPORT VECTOR MACHINES;

EID: 7444251205     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-24840-8_44     Document Type: Conference Paper

References (8)

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3. Chellapa, R., Wilson, C.L., and Sirohey, S. (1995). Human and Machine Recognition of Faces: A Survey. In Proc. IEEE, Vol. 83, no. 5.
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7. Pittenger, J.B., Shaw, R.E., and Mark, L.S. (1979). Perceptual Information for the Age Level of Faces as a Higher Order Invariant of Growth. In Journal of Experimental Psychology: Human Perception and Performance, Vol. 5, no. 3, pp. 478-493.
8. Stegmann, M.B. (2002). Analysis and Segmentation of Face Images using Point Annotations and Linear Subspace Techniques. IMM Tech. Rep., Technique University of Denmark, Denmark, Aug.