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» Feature versus model based noise robustness
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PAMI
2012
11 years 10 months ago
Joint Depth and Color Camera Calibration with Distortion Correction
—We present an algorithm that simultaneously calibrates two color cameras, a depth camera, and the relative pose between them. The method is designed to have three key features: ...
Daniel Herrera C., Juho Kannala, Janne Heikkil&aum...
ICPR
2008
IEEE
14 years 9 months ago
Texture segmentation benchmark
The Prague texture segmentation data-generator and benchmark is a web based (http://mosaic.utia.cas.cz) service designed to mutually compare and rank different texture segmenters,...
Michal Haindl, Stanislav Mikes
VLSISP
2002
124views more  VLSISP 2002»
13 years 7 months ago
Agglomerative Learning Algorithms for General Fuzzy Min-Max Neural Network
In this paper two agglomerative learning algorithms based on new similarity measures defined for hyperbox fuzzy sets are proposed. They are presented in a context of clustering and...
Bogdan Gabrys
TOG
2002
96views more  TOG 2002»
13 years 7 months ago
Robust epsilon visibility
Analytic visibility algorithms, for example methods which compute a subdivided mesh to represent shadows, are notoriously unrobust and hard to use in practice. We present a new me...
Florent Duguet, George Drettakis
TIP
2008
205views more  TIP 2008»
13 years 7 months ago
Image Denoising Using Derotated Complex Wavelet Coefficients
A method for removing additive Gaussian noise from digital images is described. It is based on statistical modeling of the coefficients of a redundant, oriented, complex multiscale...
Mark Miller, Nick G. Kingsbury