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» Optimal Segmentation of Random Sequences
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SSIAI
2000
IEEE
15 years 4 months ago
A New Bayesian Relaxation Framework for the Estimation and Segmentation of Multiple Motions
In this paper we propose a new probabilistic relaxation framework to perform robust multiple motion estimation and segmentation from a sequence of images. Our approach uses displa...
Alexander Strehl, Jake K. Aggarwal
BMCBI
2008
71views more  BMCBI 2008»
14 years 12 months ago
A tale of two symmetrical tails: Structural and functional characteristics of palindromes in proteins
Background: It has been previously shown that palindromic sequences are frequently observed in proteins. However, our knowledge about their evolutionary origin and their possible ...
Armita Sheari, Mehdi Kargar, Ali Katanforoush, Sha...
ECCV
2008
Springer
16 years 1 months ago
Segmentation and Recognition Using Structure from Motion Point Clouds
We propose an algorithm for semantic segmentation based on 3D point clouds derived from ego-motion. We motivate five simple cues designed to model specific patterns of motion and 3...
Gabriel J. Brostow, Jamie Shotton, Julien Fauqueur...
AAAI
1998
15 years 1 months ago
Optimal 2D Model Matching Using a Messy Genetic Algorithm
A Messy Genetic Algorithm is customized toflnd'optimal many-to-many matches for 2D line segment models. The Messy GA is a variant upon the Standard Genetic Algorithm in which...
J. Ross Beveridge
ICIP
1998
IEEE
16 years 1 months ago
Lip Features Automatic Extraction
An algorithm for speaker's lip segmentation and features extraction is presented in this paper. A color video sequence of speaker's face is acquired, under natural light...
Franck Luthon, Marc Liévin