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    ICPR
    2006
    IEEE
    125views computer vision» more  ICPR 2006»
    Background Robust Object Labeling by Voting of Weight-Aggregated Local Features
    14 years 5 months ago
    Background Robust Object Labeling by Voting of Weight-Aggregated Local Features
    Download  rcv.kaist.ac.kr
    In this paper, we present a new voting-based object labeling method that is robust to background clutter. The conventional simple voting method shows very poor performance under c...
    In-So Kweon, Kuk-Jin Yoon, Sungho Kim
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