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CVPR
2009
IEEE
16 years 4 months ago
StaRSaC: Stable Random Sample Consensus for Parameter Estimation
We address the problem of parameter estimation in presence of both uncertainty and outlier noise. This is a common occurrence in computer vision: feature localization is perform...
Jongmoo Choi, Gérard G. Medioni
71
Voted
CVPR
2006
IEEE
15 years 11 months ago
Diffusion Distance for Histogram Comparison
In this paper we propose diffusion distance, a new dissimilarity measure between histogram-based descriptors. We define the difference between two histograms to be a temperature f...
Haibin Ling, Kazunori Okada
AVBPA
1997
Springer
113views Biometrics» more  AVBPA 1997»
15 years 1 months ago
Generalized Likelihood Ratio-based Face Detection and Extraction of Mouth Features
In this paper we describe a system to reliably localize the position of the speaker’s face and mouth in videophone sequences. A statistical scheme based on a subspace method is p...
Charles Kervrann, Franck Davoine, P. Pérez,...
76
Voted
3DPVT
2004
IEEE
126views Visualization» more  3DPVT 2004»
15 years 1 months ago
Helmholtz Stereopsis on Rough and Strongly Textured Surfaces
Helmholtz Stereopsis (HS) has recently been explored as a promising technique for capturing shape of objects with unknown reflectance. So far, it has been widely applied to object...
Jean-Yves Guillemaut, Ondrej Drbohlav, Radim S&aac...
IVC
2008
205views more  IVC 2008»
14 years 9 months ago
A unified framework for scene illuminant estimation
Most illuminant estimation algorithms work with the assumption of one specific type of the light source (e.g. point light source or directional light source). This assumption brin...
Wei Zhou, Chandra Kambhamettu