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» Parameter-Variation-Aware Analysis for Noise Robustness
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ICCVW
1999
Springer
13 years 12 months ago
A General Method for Feature Matching and Model Extraction
Abstract. Popular algorithms for feature matching and model extraction fall into two broad categories, generate-and-test and Hough transform variations. However, both methods su er...
Clark F. Olson
ICPR
2002
IEEE
14 years 8 months ago
Robust Appearance-Based Object Recognition Using a Fully Connected Markov Random Field
This paper presents a new kernel method for appearance-based object recognition, highly robust to noise and occlusion. It consists of a fully connected Markov Random Field that in...
Barbara Caputo, Sahla Bouattour, Heinrich Niemann
ACIVS
2008
Springer
14 years 1 months ago
Robust Curvature Extrema Detection Based on New Numerical Derivation
Abstract. Extrema of curvature are useful key points for different image analysis tasks. Indeed, polygonal approximation or arc decomposition methods used often these points to ini...
Cédric Join, Salvatore Tabbone
ICIP
2005
IEEE
14 years 9 months ago
Segmenting small regions in the presence of noise
Binary segmentation, a problem of extracting foreground objects from the background, often arises in medical imaging and document processing. Popular existing solutions include Ex...
Rashi Samur, Vitali Zagorodnov
ESANN
2007
13 years 9 months ago
Toward a robust 2D spatio-temporal self-organization
Abstract. Several models have been proposed for spatio-temporal selforganization, among which the TOM model by Wiemer [1] is particularly promising. In this paper, we propose to ad...
Thomas Girod, Laurent Bougrain, Frédé...