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» Modelling perception using image processing algorithms
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ICASSP
2009
IEEE
15 years 9 months ago
Fast bayesian compressive sensing using Laplace priors
In this paper we model the components of the compressive sensing (CS) problem using the Bayesian framework by utilizing a hierarchical form of the Laplace prior to model sparsity ...
S. Derin Babacan, Rafael Molina, Aggelos K. Katsag...
ICIAP
2001
Springer
16 years 3 months ago
Recognition of Shape-Changing Hand Gestures Based on Switching Linear Model
We present a method to track and recognize shape-changing hand gestures simultaneously. The switching linear model using active contour model well corresponds to temporal shapes a...
Mun Ho Jeong, Yoshinori Kuno, Nobutaka Shimada, Yo...
ICIP
1998
IEEE
16 years 4 months ago
Image Sequence Analysis and Segmentation using G-blobs
This paper introduces a new generalisation of the familiar scale-space and wavelet representations, designed specifically to deal with the complexities of representing motions ind...
Andrew Calway, Peter Meulemans, Roland G. Wilson, ...
CVPR
2005
IEEE
16 years 5 months ago
Multilabel Random Walker Image Segmentation Using Prior Models
The recently introduced random walker segmentation algorithm of [14] has been shown to have desirable theoretical properties and to perform well on a wide variety of images in pra...
Leo Grady
DGCI
2008
Springer
15 years 4 months ago
First Results for 3D Image Segmentation with Topological Map
This paper presents the first segmentation operation defined within the 3D topological map framework. Firstly we show how a traditional segmentation algorithm, found in the literat...
Alexandre Dupas, Guillaume Damiand