43 search results - page 7 / 9 » Recovering a Polygon from Noisy Data |
CVPR
2009
IEEE
15 years 2 months ago
2009
IEEE
To recognize three-dimensional objects it is important to
model how their appearances can change due to changes
in viewpoint. A key aspect of this involves understanding
which o...
ICCV
2001
IEEE
14 years 9 months ago
2001
IEEE
Point sets obtained from computer vision techniques are often noisy and non-uniform. We present a new method of surface reconstruction that can handle such data sets using anisotr...
ECCV
2000
Springer
13 years 11 months ago
2000
Springer
Factorization using Singular Value Decomposition (SVD) is often used for recovering 3D shape and motion from feature correspondences across multiple views. SVD is powerful at find...
DAC
2010
ACM
13 years 5 months ago
2010
ACM
Numerous algorithms to macromodel a linear time-invariant (LTI) system from its frequency-domain sampling data have been proposed in recent years [1, 2, 3, 4, 5, 6, 7, 8], among w...
MICCAI
2004
Springer
14 years 8 months ago
2004
Springer
Extraction of structures of interest in medical images is often an arduous task because of noisy or incomplete data. However, handsegmented data are often available and most of the...