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» Iterative MAP and ML Estimations for Image Segmentation
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PAMI
2007
155views more  PAMI 2007»
14 years 9 months ago
Localization of Shapes Using Statistical Models and Stochastic Optimization
—In this paper, we present a new model for deformations of shapes. A pseudolikelihood is based on the statistical distribution of the gradient vector field of the gray level. The...
François Destrempes, Max Mignotte, Jean-Fra...
BMCBI
2010
109views more  BMCBI 2010»
14 years 9 months ago
FPGA acceleration of the phylogenetic likelihood function for Bayesian MCMC inference methods
Background: Likelihood (ML)-based phylogenetic inference has become a popular method for estimating the evolutionary relationships among species based on genomic sequence data. Th...
Stephanie Zierke, Jason D. Bakos
ISBI
2006
IEEE
15 years 10 months ago
Automatic landmark tracking applied to optimize brain conformal mapping
Important anatomical features on the cortical surface are usually represented by landmark curves, called sulcal/gyral curves. Manual labeling of these landmark curves is time-cons...
Lok Ming Lui, Yalin Wang, Tony F. Chan, Paul M. Th...
ICIP
2007
IEEE
15 years 11 months ago
Region-Based Dense Depth Extraction from Multi-View Video
A novel multi-view region-based dense depth map estimation problem is presented, based on a modified planesweeping strategy. In this approach, the whole scene is assumed to be reg...
Cevahir Cigla, Xenophon Zabulis, A. Aydin Alatan
JFR
2008
148views more  JFR 2008»
14 years 9 months ago
Terrain-based vehicle orientation estimation combining vision and inertial measurements
A novel method for estimating vehicle roll, pitch and yaw using machine vision and inertial sensors is presented that is based on matching images captured from an on-vehicle camer...
Vishisht Gupta, Sean Brennan