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SCIA
2009
Springer
305views Image Analysis» more  SCIA 2009»
14 years 2 months ago
A Convex Approach to Low Rank Matrix Approximation with Missing Data
Many computer vision problems can be formulated as low rank bilinear minimization problems. One reason for the success of these problems is that they can be efficiently solved usin...
Carl Olsson, Magnus Oskarsson
CVIU
2007
149views more  CVIU 2007»
13 years 8 months ago
A volumetric fusion technique for surface reconstruction from silhouettes and range data
Optical triangulation, an active reconstruction technique, is known to be an accurate method but has several shortcomings due to occlusion and laser reflectance properties of the...
Yücel Yemez, C. J. Wetherilt
TSMC
2008
148views more  TSMC 2008»
13 years 7 months ago
Stratification Approach for 3-D Euclidean Reconstruction of Nonrigid Objects From Uncalibrated Image Sequences
Abstract--This paper addresses the problem of 3-D reconstruction of nonrigid objects from uncalibrated image sequences. Under the assumption of affine camera and that the nonrigid ...
Guanghui Wang, Q. M. Jonathan Wu
ICPR
2006
IEEE
14 years 9 months ago
Adaptive variational sinogram interpolation of sparsely sampled CT data
We present various kinds of variational PDE based methods to interpolate missing sinogram data for tomographic image reconstruction. Using the observed sinogram data we inpaint th...
Harald Köstler, Marcus Prümmer, Ulrich R...
ICPR
2008
IEEE
14 years 9 months ago
Multiple view based 3D object classification using ensemble learning of local subspaces
Multiple observation improves the performance of 3D object classification. However, since the distribution of feature vectors obtained from multiple view points have strong nonlin...
Jianing Wu, Kazuhiro Fukui