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CVPR
1999
IEEE
14 years 11 months ago
A Novel Bayesian Method for Fitting Parametric and Non-Parametric Models to Noisy Data
We o er a simple paradigm for tting models, parametric and non-parametric, to noisy data, which resolves some of the problems associated with classic MSE algorithms. This is done ...
Michael Werman, Daniel Keren
ECCV
1998
Springer
14 years 11 months ago
Projective and Illumination Invariant Representation of Disjoint Shapes
We describe a new projectively invariant representation of disjoint contour groups which is suitable for shape-based retrieval from an image database. It consists of simultaneous ...
Sergei Startchik, Ruggero Milanese, Thierry Pun
VC
2011
106views more  VC 2011»
13 years 4 months ago
Width-bounded geodesic strips for surface tiling
Abstract We present an algorithm for computing families of geodesic curves over an open mesh patch to partition the patch into strip-like segments. Specifically, the segments can ...
Joe Kahlert, Matt Olson, Hao Zhang 0002
EMMCVPR
2001
Springer
14 years 2 months ago
Multiple Contour Finding and Perceptual Grouping as a Set of Energy Minimizing Paths
We address the problem of finding a set of contour curves in an image. We consider the problem of perceptual grouping and contour completion, where the data is a set of points in ...
Laurent D. Cohen, Thomas Deschamps
ICASSP
2011
IEEE
13 years 1 months ago
A new variational method for preserving point-like and curve-like singularities in 2-D images
We propose a new variational method to restore point-like and curvelike singularities in 2-D images. As points and open curves are fine structures, they are difficult to restore...
Daniele Graziani, Laure Blanc-Féraud, Gille...