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ICIP
2001
IEEE

Face detection using large margin classifiers

9 years 11 months ago
Face detection using large margin classifiers
Large margin classifiers have demonstrated their advantages in many visual learning tasks, and have attracted much attention in vision and image processing communities. In this paper we apply and compare two large margin classifiers, Support Vector Machines and Sparse Network of Winnows, to detect faces in still gray scale images. Furthermore, we study the theoretical frameworks of these classifiers and analyze the empirical results. Experiments on a test set of 24,045 images exhibit good generalization and robustness, and conform to theoretical analysis.
Ming-Hsuan Yang, Dan Roth, Narendra Ahuja
Added 25 Oct 2009
Updated 27 Oct 2009
Type Conference
Year 2001
Where ICIP
Authors Ming-Hsuan Yang, Dan Roth, Narendra Ahuja
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