• Publications
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"GrabCut": interactive foreground extraction using iterated graph cuts
The problem of efficient, interactive foreground/background segmentation in still images is of great practical importance in image editing. Expand
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CONDENSATION—Conditional Density Propagation for Visual Tracking
  • M. Isard, A. Blake
  • Computer Science
  • International Journal of Computer Vision
  • 1 August 1998
The Condensation algorithm uses “factored sampling”, previously applied to the interpretation of static images, in which the probability distribution of possible interpretations is represented by a randomly generated set. Expand
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Real-Time Human Pose Recognition in Parts from Single Depth Images
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Poisson image editing
Using generic interpolation machinery based on solving Poisson equations, a variety of novel tools are introduced for seamless editing of image regions. Expand
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Real-time human pose recognition in parts from single depth images
We propose a new method to quickly and accurately predict 3D positions of body joints from a single depth image, using no temporal information. Expand
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Visual Reconstruction
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Articulated body motion capture by annealed particle filtering
Annealed particle filtering is shown to be capable of recovering full articulated body motion efficiently in high dimensional configuration spaces. Expand
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Contour Tracking by Stochastic Propagation of Conditional Density
The Condensation algorithm combines factored sampling with learned dynamical models to propagate an entire probability distribution for object position and shape, over time. Expand
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Bayesian color constancy revisited
In this paper we follow a line of research that assumes uniform illumination of a scene, and that the principal step in estimating reflectances is the estimation of the scene illuminant. Expand
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Active Contours
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