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» A Computational Model of Multidimensional Shape
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AAAI
2004
13 years 10 months ago
Reconstruction of 3D Models from Intensity Images and Partial Depth
This paper addresses the probabilistic inference of geometric structures from images. Specifically, of synthesizing range data to enhance the reconstruction of a 3D model of an in...
Luz Abril Torres-Méndez, Gregory Dudek
PROCEDIA
2010
120views more  PROCEDIA 2010»
13 years 4 months ago
A coupled convection-diffusion level set model for tracking epithelial cells in colonic crypts
Colorectal cancer is initiated in colonic crypts as a consequence of alterations leading to the disruption of the normal colonic cellular process. We propose a model, which couple...
Isabel N. Figueiredo, Carlos F. Leal, Tommaso Leon...
JAISE
2011
179views more  JAISE 2011»
13 years 3 days ago
A hybrid probabilistic neural model for person tracking based on a ceiling-mounted camera
Person tracking is an important topic in ambient living systems as well as in computer vision. In particular, detecting a person from a ceiling-mounted camera is a challenge since ...
Wenjie Yan, Cornelius Weber, Stefan Wermter
ICCV
2009
IEEE
15 years 2 months ago
Seeing through water: Image restoration using model-based tracking
A video sequence of an underwater scene taken from above the water surface suffers from severe distortions due to water fluctuations. In this paper, we simultaneously estimate t...
Yuandong Tian, Srinivasa G. Narasimhan
ECCV
2004
Springer
14 years 11 months ago
Scene and Motion Reconstruction from Defocused and Motion-Blurred Images via Anisotropic Diffusion
We propose a solution to the problem of inferring the depth map, radiance and motion of a scene from a collection of motion-blurred and defocused images. We model motion-blur and d...
Paolo Favaro, Martin Burger, Stefano Soatto