DocumentCode
3248830
Title
Multi-view face detection and pose estimation using a composite support vector machine across the view sphere
Author
Ng, Jeffrey ; Gong, Shaogang
Author_Institution
Dept. of Comput. Sci., Queen Mary & Westfield Coll., London, UK
fYear
1999
fDate
1999
Firstpage
14
Lastpage
21
Abstract
Support vector machines have shown great potential for learning classification functions that can be applied to object recognition. In this work, we extend SVMs to model the 2D appearance of human faces which undergo nonlinear change across the view sphere. The model enables simultaneous multi-view face detection and pose estimation at near-frame rate
Keywords
face recognition; image classification; learning (artificial intelligence); object detection; 2D appearance; classification functions; learning; multi-view face detection; object recognition; pose estimation; support vector machine; view sphere; Face detection; Humans; Magnetic heads; Object recognition; Prototypes; Support vector machine classification; Support vector machines; Testing; Training data; Virtual colonoscopy;
fLanguage
English
Publisher
ieee
Conference_Titel
Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems, 1999. Proceedings. International Workshop on
Conference_Location
Corfu
Print_ISBN
0-7695-0378-0
Type
conf
DOI
10.1109/RATFG.1999.799218
Filename
799218
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