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    CVPR
    2006
    IEEE
    198views Computer Vision» more  CVPR 2006»
    Multiple Object Class Detection with a Generative Model
    14 years 9 months ago
    Multiple Object Class Detection with a Generative Model
    Download  www.mis.informatik.tu-darmstadt.de
    In this paper we propose an approach capable of simultaneous recognition and localization of multiple object classes using a generative model. A novel hierarchical representation ...
    Krystian Mikolajczyk, Bastian Leibe, Bernt Schiele
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    ASPDAC
    2006
    ACM
    173views Hardware» more  ASPDAC 2006»
    Image segmentation and pattern matching based FPGA/ASIC implementation architecture of real-time object tracking
    13 years 11 months ago
    Image segmentation and pattern matching based FPGA/ASIC implementation architecture of real-time object tracking
    Download  www.cecs.uci.edu
    A novel algorithm for object tracking in video pictures, based on image segmentation and pattern matching, as well as its FPGA/ASIC implementation architecture are presented. With ...
    K. Yamaoka, Takashi Morimoto, Hidekazu Adachi, Tet...
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    TSMC
    2002
    119views more  TSMC 2002»
    Scene analysis by integrating primitive segmentation and associative memory
    13 years 7 months ago
    Scene analysis by integrating primitive segmentation and associative memory
    Download  www.cse.ohio-state.edu
    Scene analysis is a major aspect of perception and continues to challenge machine perception. This paper addresses the scene-analysis problem by integrating a primitive segmentatio...
    DeLiang L. Wang, Xiuwen Liu
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    ISBI
    2006
    IEEE
    164views Medical Imaging» more  ISBI 2006»
    TOADS: topology-preserving, anatomy-driven segmentation
    14 years 1 months ago
    TOADS: topology-preserving, anatomy-driven segmentation
    Download  medic.rad.jhmi.edu
    This paper presents a new framework for multiple object segmentation in medical images that respects the topological properties and anatomical relationships of structures as given...
    Pierre-Louis Bazin, Dzung L. Pham
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    WACV
    2005
    IEEE
    151views Computer Vision» more  WACV 2005»
    Using Co-Occurrence and Segmentation to Learn Feature-Based Object Models from Video
    14 years 1 months ago
    Using Co-Occurrence and Segmentation to Learn Feature-Based Object Models from Video
    Download  www.cnbc.cmu.edu
    A number of recent systems for unsupervised featurebased learning of object models take advantage of cooccurrence: broadly, they search for clusters of discriminative features tha...
    Thomas S. Stepleton, Tai Sing Lee
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