To appear in International Journal of Computer Vision, 2002. Object Detection...  Home/Search
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Abstract: In this paper we describe a trainable object detector and its instantiations for detecting faces and cars at any size, location, and pose. To cope with variation in object orientation, the detector uses multiple classifiers, each spanning a different range of orientation. Each of these classifiers determines whether the object is present at a specified size within a fixed-size image window. (Update)
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BibTeX entry: (Update)
@misc{ -unknown,
title = "Unknown",
url = "citeseer.ist.psu.edu/519500.html" }
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