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CVPR
1999
IEEE
16 years 1 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
16 years 1 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»
14 years 6 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
15 years 4 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
14 years 3 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...