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    MVA
    1996
    100views Computer Vision» more  MVA 1996»
    Range Data Segmentation with Principal Vectors and Surface Types
    13 years 6 months ago
    Range Data Segmentation with Principal Vectors and Surface Types
    Download  b2.cvl.iis.u-tokyo.ac.jp
    A new method for segmenting range data including curved surfaceisproposed.Themethod isbasedonrobust principal vectors calculation using ISL-primary-axis method. First a normal vec...
    Takashi Yoshimi, Yoshihiro Kawai, Fumiaki Tomita
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    ICRA
    1998
    IEEE
    148views Robotics» more  ICRA 1998»
    Position Estimation Using Principal Components of Range Data
    13 years 9 months ago
    Position Estimation Using Principal Components of Range Data
    Download  www-prima.inrialpes.fr
    1 sensors is to construct a structural description from sensor data and to match this description to a previously acquired model [Crowley 85]. An alternative is to project individu...
    James L. Crowley, Frank Wallner, Bernt Schiele
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    ECCV
    2004
    Springer
    159views Computer Vision» more  ECCV 2004»
    Model Selection for Range Segmentation of Curved Objects
    14 years 6 months ago
    Model Selection for Range Segmentation of Curved Objects
    Download  www.swinburne.edu.au
    In the present paper, we address the problem of recovering the true underlying model of a surface while performing the segmentation. A novel criterion for surface (model) selection...
    Alireza Bab-Hadiashar, Niloofar Gheissari
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    SIP
    2003
    131views Image Processing» more  SIP 2003»
    Robust Range Data Segmentation using Geometric Primitives for Robotic Applications
    13 years 6 months ago
    Robust Range Data Segmentation using Geometric Primitives for Robotic Applications
    Download  www.irrc.monash.edu.au
    This paper presents a data-driven approach for segmenting range data to enable a humanoid robot to perform interactive domestic tasks. Range data is segmented into geometric primi...
    Geoffrey Taylor, Lindsay Kleeman
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    VMV
    2000
    157views Visualization» more  VMV 2000»
    Visualization of Principal Curvature Directions by Anisotropic Diffusion
    13 years 6 months ago
    Visualization of Principal Curvature Directions by Anisotropic Diffusion
    Download  numod.ins.uni-bonn.de
    Anisotropic diffusion is known to be a powerful tool in image processing. It enables the smoothing of initially noisy images while still retaining, respectively sharpening edges a...
    Udo Diewald, Martin Rumpf
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