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» Supershape Recovery from 3D Data Sets
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TSP
2008
151views more  TSP 2008»
13 years 10 months ago
Reduce and Boost: Recovering Arbitrary Sets of Jointly Sparse Vectors
The rapid developing area of compressed sensing suggests that a sparse vector lying in a high dimensional space can be accurately and efficiently recovered from only a small set of...
Moshe Mishali, Yonina C. Eldar
NIPS
2000
13 years 11 months ago
Learning and Tracking Cyclic Human Motion
We present methods for learning and tracking human motion in video. We estimate a statistical model of typical activities from a large set of 3D periodic human motion data by segm...
Dirk Ormoneit, Hedvig Sidenbladh, Michael J. Black...
MICCAI
1998
Springer
14 years 2 months ago
Augmented Reality Visualization for Laparoscopic Surgery
We present the design and a prototype implementation of a three-dimensional visualization system to assist with laparoscopic surgical procedures. The system uses 3D visualization, ...
Henry Fuchs, Mark A. Livingston, Ramesh Raskar, D'...
TITB
2008
152views more  TITB 2008»
13 years 10 months ago
Region of Interest and Multiresolution for Volume Rendering
Medical image interpretation is facing an important challenge resulting from the continuously increasing amount of imaging data. Innovations in medical image visualization are nece...
Sébastien Piccand, Rita Noumeir, Eric Paque...
ICPR
2006
IEEE
14 years 11 months ago
Using Specularities to Recover Multiple Light Sources in the Presence of Texture
Recovering multiple point light sources from a sparse set of photographs in which objects of unknown texture can move is challenging. This is because both diffuse and specular ref...
Pascal Lagger, Pascal Fua