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» Statistical Models of Appearance for Computer Vision
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ICCV
1999
IEEE
15 years 7 months ago
3D Pose Tracking with Linear Depth and Brightness Constraints
This paper explores the direct motion estimation problem assuming that video-rate depth information is available, from either stereo cameras or other sensors. We use these depth m...
Michael Harville, Ali Rahimi, Trevor Darrell, Gail...
ICPADS
2005
IEEE
15 years 9 months ago
A Hint-Based Probabilistic Protocol for Unicast Communications in MANETs
Point-to-point transmissions represent a fundamental primitive in any communication network. Despite many proave appeared in the literature, providing an efficient implementation ...
Roberto Beraldi, Leonardo Querzoni, Roberto Baldon...
145
Voted
ISBI
2011
IEEE
14 years 7 months ago
Automatic pancreas segmentation in contrast enhanced CT data using learned spatial anatomy and texture descriptors
Pancreas segmentation in 3-D computed tomography (CT) data is of high clinical relevance, but extremely difficult since the pancreas is often not visibly distinguishable from the...
Marius Erdt, Matthias Kirschner, Klaus Drechsler, ...
195
Voted
CVPR
2009
IEEE
16 years 10 months ago
Illumination and Spatially Varying Specular Reflectance from a Single View
Estimating the illumination and the reflectance properties of an object surface from a sparse set of images is an important but inherently ill-posed problem. The problem becomes...
Kenji Hara (Kyushu University), Ko Nishino (Drexel...
CVPR
2009
IEEE
16 years 10 months ago
Fast Multiple Shape Correspondence by Pre-Organizing Shape Instances
Accurately identifying corresponded landmarks from a population of shape instances is the major challenge in constructing statistical shape models. In general, shapecorrespondenc...
Andrew Temlyakov, Brent C. Munsell, Song Wang