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» 3D Modeling of Optically Challenging Objects
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MICCAI
2002
Springer
14 years 8 months ago
A Statistical Shape Model for the Liver
The use of statistical shape models is a promising approach for robust segmentation of medical images. One of the major challenges in building a 3D shape model from a training set ...
Hans Lamecker, Thomas Lange, Martin Seebass
ICCV
2011
IEEE
12 years 7 months ago
Kinecting the dots: Particle Based Scene Flow from depth sensors
The motion field of a scene can be used for object segmentation and to provide features for classification tasks like action recognition. Scene flow is the full 3D motion fiel...
Simon Hadfield, Richard Bowden
AIR
2006
147views more  AIR 2006»
13 years 7 months ago
Virtual human animation in natural language visualisation
Simulation motion of Virtual Reality (VR) objects and humans has experienced1 important developments in the last decade. However, realistic virtual human animation gen-2 eration re...
Minhua Ma, Paul McKevitt
CVPR
2008
IEEE
14 years 9 months ago
Drift-free tracking of rigid and articulated objects
Model-based 3D tracker estimate the position, rotation, and joint angles of a given model from video data of one or multiple cameras. They often rely on image features that are tr...
Juergen Gall, Bodo Rosenhahn, Hans-Peter Seidel
CGF
2010
114views more  CGF 2010»
13 years 2 months ago
Transparent and Specular Object Reconstruction
This state of the art report covers reconstruction methods for transparent and specular objects or phenomena. While the 3D acquisition of opaque surfaces with lambertian reflectan...
Ivo Ihrke, Kiriakos N. Kutulakos, Hendrik P. A. Le...