Presentation 2007-09-04
Component-Based Automatic Object Discovery Using Multiple Phase Hashing
Gibran Fuentes Pineda, Hisashi Koga, Toshinori Watanabe,
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Abstract(in English) This paper proposes a component-based method to discover objects automatically without examples from segmented images. Our approach deems an object as combination of components, where each component consists of near pixels with the same color. The object discovery is realized in four phases: (1) discovery of components by gathering close pixels with the same color, (2) labeling of components by gathering components with similar attribute values, (3) discovery of object candidates by gathering close components, and (4) determination of valid objects among candidates, such that if the same kind of object candidates appear multiple times, they are regarded as meaningful objects. The primary contribution of this approach is to demonstrate that several essential functions in object discovery can be implemented only by hashing techniques. Especially, the first three phases rely on a hashing on Euclidean space like locality-sensitive hashing. The final fourth phase uses standard hashing technique. Since the algorithm only uses hashing techniques, it is easy to implement. Our system is robust against various parameters (rotation, translation, etc). The experimental results under different scenes and patterns present the validness of the method.
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Paper # PRMU2007-89,HIP2007-98
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Committee HIP
Conference Date 2007/8/27(1days)
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Language ENG
Title (in Japanese) (See Japanese page)
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Title (in English) Component-Based Automatic Object Discovery Using Multiple Phase Hashing
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1st Author's Name Gibran Fuentes Pineda
1st Author's Affiliation Graduate School of Information Systems University of Electro-Communications()
2nd Author's Name Hisashi Koga
2nd Author's Affiliation Graduate School of Information Systems University of Electro-Communications
3rd Author's Name Toshinori Watanabe
3rd Author's Affiliation Graduate School of Information Systems University of Electro-Communications
Date 2007-09-04
Paper # PRMU2007-89,HIP2007-98
Volume (vol) vol.107
Number (no) 207
Page pp.pp.-
#Pages 6
Date of Issue