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» A Bayesian approach for image segmentation with shape priors
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CVPR
2011
IEEE
13 years 5 months ago
Shape Grammar Parsing via Reinforcement Learning
This paper tackles shape grammar parsing for facade segmentation using a novel optimization approach based on reinforcement learning (RL). To this end, we use a binary recursive g...
Olivier Teboul, Iasonas Kokkinos, Panagiotis Kouts...
ICIP
2000
IEEE
14 years 10 months ago
Combined Dynamic Tracking and Recognition of Curves with Application to Road Detection
We present an algorithm that extracts the largest shape within a specificclass, starting from a set of image edgels. The algorithm inherits the Best-First Segmentation approach [jp...
Frederic Guichard, Jean-Philippe Tarel
PAMI
2007
185views more  PAMI 2007»
13 years 8 months ago
A Two-Level Generative Model for Cloth Representation and Shape from Shading
In this paper we present a two-level generative model for representing the images and surface depth maps of drapery and clothes. The upper level consists of a number of folds whic...
Feng Han, Song Chun Zhu
CVPR
2008
IEEE
14 years 11 months ago
Local deformation models for monocular 3D shape recovery
Without a deformation model, monocular 3D shape recovery of deformable surfaces is severly under-constrained. Even when the image information is rich enough, prior knowledge of th...
Mathieu Salzmann, Raquel Urtasun, Pascal Fua
BIRD
2007
Springer
150views Bioinformatics» more  BIRD 2007»
14 years 3 months ago
Bayesian Inference for 2D Gel Electrophoresis Image Analysis
Two-dimensional gel electrophoresis (2DGE) is a technique to separate individual proteins in biological samples. The 2DGE technique results in gel images where proteins appear as d...
Ji Won Yoon, Simon J. Godsill, ChulHun Kang, Tae-S...