Sciweavers

595 search results - page 85 / 119
» Approximate Volumetric Reconstruction from Projected Images
Sort
View
WSCG
2004
166views more  WSCG 2004»
14 years 10 days ago
De-noising and Recovering Images Based on Kernel PCA Theory
Principal Component Analysis (PCA) is a basis transformation to diagonalize an estimate of the covariance matrix of input data and, the new coordinates in the Eigenvector basis ar...
Pengcheng Xi, Tao Xu
CVPR
1997
IEEE
14 years 3 months ago
Autocalibration and the absolute quadric
We describe a new method for camera autocalibration and scaled Euclidean structure and motion, from three or more views taken by a moving camera with fixed but unknown intrinsic ...
Bill Triggs
ICRA
2003
IEEE
151views Robotics» more  ICRA 2003»
14 years 4 months ago
Image-based localization with depth-enhanced image map
— In this paper, we present an image-based robot incremental localization algorithm which uses a panoramic image-based map enhanced with depth from a laser range finder. The ima...
Dana Cobzas, Hong Zhang, Martin Jägersand
COMPGEOM
2009
ACM
13 years 8 months ago
Geometric tomography: a limited-view approach for computed tomography
Computed tomography(CT), especially since the introduction of helical CT, provides excellent visualization of the internal organs of the body. As a result, CT is used routinely in...
Peter B. Noël, Jinhui Xu, Kenneth R. Hoffmann...
SCIA
2009
Springer
305views Image Analysis» more  SCIA 2009»
14 years 5 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