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Object detection with vector quantized binary features

Published • Nov 22, 2002
Authors:
John Krumm

Abstract

This paper presents a new algorithm for detecting objects in images, one of the fundamental tasks of computer vision. The algorithm extends the representational efficiency of eigenimage methods to binary features, which are less sensitive to illumination changes than gray-level values normally used ...

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