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    CMIG
    2011
    168views more  CMIG 2011»
    Comparing axial CT slices in quantized N-dimensional SURF descriptor space to estimate the visible body region
    12 years 10 months ago
    Comparing axial CT slices in quantized N-dimensional SURF descriptor space to estimate the visible body region
    Download  www5.informatik.uni-erlangen.de
    In this paper, a method is described to automatically estimate the visible body region of a computed tomography (CT) volume image. In order to quantify the body region, a body coo...
    Johannes Feulner, Shaohua Kevin Zhou, Elli Angelop...
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    CGF
    2011
    285views Computational Geometry» more  CGF 2011»
    BSSRDF Estimation from Single Images
    12 years 10 months ago
    BSSRDF Estimation from Single Images
    Download  giga.cps.unizar.es
    We present a novel method to estimate an approximation of the reflectance characteristics of optically thick, homogeneous translucent materials using only a single photograph as ...
    Adolfo Muñoz, Jose I. Echevarria, Francisco...
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    PR
    2008
    218views more  PR 2008»
    Automatic feature localisation with constrained local models
    13 years 6 months ago
    Automatic feature localisation with constrained local models
    Download  www.jdl.ac.cn
    We present an efficient and robust method of locating a set of feature points in an object of interest. From a training set we construct a joint model of the appearance of each fe...
    David Cristinacce, Timothy F. Cootes
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    CVPR
    1999
    IEEE
    188views Computer Vision» more  CVPR 1999»
    A Multi-View Approach to Motion and Stereo
    14 years 8 months ago
    A Multi-View Approach to Motion and Stereo
    Download  research.microsoft.com
    This paper presents a new approach to computing dense depth and motion estimates from multiple images. Rather than computing a single depth or motion map from such a collection, w...
    Richard Szeliski
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    ICCV
    2005
    IEEE
    174views Computer Vision» more  ICCV 2005»
    Integration of Conditionally Dependent Object Features for Robust Figure/Background Segmentation
    14 years 8 months ago
    Integration of Conditionally Dependent Object Features for Robust Figure/Background Segmentation
    Download  www.cs.sunysb.edu
    We propose a new technique for fusing multiple cues to robustly segment an object from its background in video sequences that suffer from abrupt changes of both illumination and p...
    Francesc Moreno-Noguer, Alberto Sanfeliu, Dimitris...
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