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» A Stochastic Grammar of Images
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ICASSP
2011
IEEE
12 years 11 months ago
Langevin and hessian with fisher approximation stochastic sampling for parameter estimation of structured covariance
We have studied two efficient sampling methods, Langevin and Hessian adapted Metropolis Hastings (MH), applied to a parameter estimation problem of the mathematical model (Lorent...
Cornelia Vacar, Jean-François Giovannelli, ...
JMIV
2002
78views more  JMIV 2002»
13 years 7 months ago
A Deformable Template Model, with Special Reference to Elliptical Templates
This paper suggests a high-level continuous image model for planar star-shaped objects. Under this model, a planar object is a stochastic deformation of a star-shaped template. The...
Asger Hobolth, Jan Pedersen, Eva B. Vedel Jensen
JMIV
2010
87views more  JMIV 2010»
13 years 6 months ago
Infinite Photography: New Mathematical Model for High-Resolution Images
A new mathematical image model is introduced using the photographic process as the starting point. Images are represented as infinite sequences of photons allowing analysis at arb...
Tapio Helin, Matti Lassas, Samuli Siltanen
TOG
2010
134views more  TOG 2010»
13 years 2 months ago
Unbiased, adaptive stochastic sampling for rendering inhomogeneous participating media
Realistic rendering of participating media is one of the major subjects in computer graphics. Monte Carlo techniques are widely used for realistic rendering because they provide u...
Yonghao Yue, Kei Iwasaki, Bing-Yu Chen, Yoshinori ...
IPMI
2005
Springer
14 years 8 months ago
Multi-object Segmentation Using Shape Particles
Deformable template models, in which a shape model and its corresponding appearance model are deformed to optimally fit an object in the image, have proven successful in many medic...
Marleen de Bruijne, Mads Nielsen