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Abstract: Finding human faces automatically in an image is a difficult yet important first step to a fully automatic face recognition system. It is also an interesting academic problem because a successful face detection system can provide valuable insight on how one might approach other similar object and pattern detection problems. This paper presents an example-based learning approach for locating vertical frontal views of human faces in complex scenes. The technique models the distribution of human... (Update)
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BibTeX entry: (Update)
Poggio, T., Sung, K.K., "Example-based learning for view-based human face detection". Proc. of the ARPA Image Understanding Workshop, II:843-850. 1994. http://citeseer.ist.psu.edu/sung95example.html More
@article{ sung98examplebased,
author = "Kah Kay Sung and Tomaso Poggio",
title = "Example-Based Learning for View-Based Human Face Detection",
journal = "IEEE Transactions on Pattern Analysis and Machine Intelligence",
volume = "20",
number = "1",
pages = "39-51",
year = "1998",
url = "citeseer.ist.psu.edu/sung95example.html" }
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550 Parallel Distributed Processing (context) - Rumelhart, McClelland - 1986 ACM
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