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» On Fitting Mixture Models
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JAIR
1998
198views more  JAIR 1998»
15 years 4 months ago
Probabilistic Inference from Arbitrary Uncertainty using Mixtures of Factorized Generalized Gaussians
This paper presents a general and efficient framework for probabilistic inference and learning from arbitrary uncertain information. It exploits the calculation properties of fini...
Alberto Ruiz, Pedro E. López-de-Teruel, M. ...
ECCV
1998
Springer
16 years 6 months ago
Faithful Least-Squares Fitting of Spheres, Cylinders, Cones and Tori for Reliable Segmentation
Abstract. This paper addresses a problem arising in the reverse engineering of solid models from depth-maps. We wish to identify and fit surfaces of known type wherever these are a...
A. David Marshall, Gábor Lukács, Ral...
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CGF
2008
127views more  CGF 2008»
15 years 4 months ago
Fitting Sharp Features with Loop Subdivision Surfaces
Various methods have been proposed for fitting subdivision surfaces to different forms of shape data (e.g., dense meshes or point clouds), but none of these methods effectively de...
Ruotian Ling, Wenping Wang, Dong-Ming Yan
CVPR
1996
IEEE
16 years 6 months ago
MUSE: Robust Surface Fitting using Unbiased Scale Estimates
Despite many successful applications of robust statistics, they have yet to be completely adapted to many computer vision problems. Range reconstruction, particularly in unstructu...
James V. Miller, Charles V. Stewart
ECCV
2004
Springer
16 years 5 months ago
Evaluation of Robust Fitting Based Detection
Low-level image processing algorithms generally provide noisy features that are far from being Gaussian. Medium-level tasks such as object detection must therefore be robust to out...
Sio-Song Ieng, Jean-Philippe Tarel, Pierre Charbon...