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» Modeling non-gaussian noise for robust image analysis
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SMI
2010
IEEE
173views Image Analysis» more  SMI 2010»
13 years 7 months ago
Point Cloud Skeletons via Laplacian Based Contraction
—We present an algorithm for curve skeleton extraction via Laplacian-based contraction. Our algorithm can be applied to surfaces with boundaries, polygon soups, and point clouds....
Junjie Cao, Andrea Tagliasacchi, Matt Olson, Hao Z...
TIP
2011
89views more  TIP 2011»
13 years 3 months ago
Random Phase Textures: Theory and Synthesis
This paper explores the mathematical and algorithmic properties of two sample-based microtexture models: random phase noise (RPN ) and asymptotic discrete spot noise (ADSN ). Thes...
Bruno Galerne, Yann Gousseau, Jean-Michel Morel
IPMI
2005
Springer
14 years 2 months ago
Fundamental Limits in 3D Landmark Localization
This work analyses the accuracy of estimating the location of 3D landmarks and characteristic image structures. Based on nonlinear estimation theory we study the minimal stochastic...
Karl Rohr
ISBI
2004
IEEE
14 years 9 months ago
Speckle Reduction on Ultrasound Image by Variational Methods and Adaptive Lagrangian Multipliers
Ultrasound images are corrupted by a multiplicative noise, the speckle, which makes high level analysis difficult. Within each resolution cell a number of elementary scatterers re...
Arnaud Ogier, Pierre Hellier, Christian Barillot
VISUALIZATION
2003
IEEE
14 years 2 months ago
Image Based Flow Visualization for Curved Surfaces
A new method for the synthesis of dense, vector-field aligned textures on curved surfaces is presented, called IBFVS. The method is based on Image Based Flow Visualization (IBFV)...
Jarke J. van Wijk