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» Training Deformable Models for Localization
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IVC
2007
142views more  IVC 2007»
13 years 8 months ago
Fast stochastic optimization for articulated structure tracking
Recently, an optimization approach for fast visual tracking of articulated structures based on Stochastic Meta-Descent (SMD) [7] has been presented. SMD is a gradient descent with...
Matthieu Bray, Esther Koller-Meier, Nicol N. Schra...

Publication
372views
14 years 9 months ago
Multi-Objects Interpretation
We describe a general-purpose method for the accurate and robust interpretation of a data set of p-dimensional points by several deformable prototypes. This method is based on the ...
Jean-Philippe Tarel
BMCBI
2005
89views more  BMCBI 2005»
13 years 8 months ago
An empirical analysis of training protocols for probabilistic gene finders
Background: Generalized hidden Markov models (GHMMs) appear to be approaching acceptance as a de facto standard for state-of-the-art ab initio gene finding, as evidenced by the re...
William H. Majoros, Steven Salzberg
SAC
2010
ACM
14 years 1 months ago
Haptic manipulation of rational parametric planar cubics using shape constraints
In this paper, we show how to deform a planar rational cubic based on a local interpolation constraint while retaining the qualitative shape of the curve. An impedance-type, paral...
Christoph Fünfzig, Philippe Thomin, Gudrun Al...
CVPR
2005
IEEE
14 years 10 months ago
Detecting, Localizing and Recovering Kinematics of Textured Animals
We develop and demonstrate an object recognition system capable of accurately detecting, localizing, and recovering the kinematic configuration of textured animals in real images....
Deva Ramanan, David A. Forsyth, Kobus Barnard