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Appearance-based visual learning and object recognition with illumination invariance

✍ Scribed by Kohtaro Ohba; Yoichi Sato; Katsusi Ikeuchi


Publisher
Springer-Verlag
Year
2000
Tongue
English
Weight
350 KB
Volume
12
Category
Article
ISSN
0932-8092

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We introduce an object recognition and localization system in which objects are represented as a sparse and spatially organized set of local (bent) line segments. The line segments correspond to binarized Gabor wavelets or banana wavelets, which are bent and stretched Gabor wavelets. These features