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MICCAI
2010
Springer
13 years 8 months ago
Nonlinear Embedding towards Articulated Spine Shape Inference Using Higher-Order MRFs
In this paper we introduce a novel approach for inferring articulated spine models from images. A low-dimensional manifold embedding is created from a training set of prior mesh mo...
Samuel Kadoury, Nikos Paragios
GECCO
2005
Springer
103views Optimization» more  GECCO 2005»
14 years 3 months ago
Pricing the 'free lunch' of meta-evolution
A number of recent studies introduced meta-evolutionary strategies and successfully used them for solving problems in genetic programming. While individual results indicate possib...
Alexei V. Samsonovich, Kenneth A. De Jong
JMIV
2007
156views more  JMIV 2007»
13 years 9 months ago
Using the Shape Gradient for Active Contour Segmentation: from the Continuous to the Discrete Formulation
A variational approach to image or video segmentation consists in defining an energy depending on local or global image characteristics, the minimum of which being reached for ob...
Eric Debreuve, Muriel Gastaud, Michel Barlaud, Gil...
WSCG
2004
139views more  WSCG 2004»
13 years 11 months ago
Objects Matching Improvement Using Optimization Techniques in a Geometric Modal Methodology
This work was based on a previously developed methodology using shape modal description for matching image objects. With this methodology, the objects points were matched using a ...
Luísa Ferreira Bastos, João Manuel R...
ICPR
2008
IEEE
14 years 4 months ago
Layered shape matching and registration: Stochastic sampling with hierarchical graph representation
To automatically register foreground target in cluttered images, we present a novel hierarchical graph representation and a stochastic computing strategy in Bayesian framework. Th...
Xiaobai Liu, Liang Lin, Hongwei Li, Hai Jin, Wenbi...