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CVPR
2008
IEEE
14 years 10 months ago
Learning for stereo vision using the structured support vector machine
We present a random field based model for stereo vision with explicit occlusion labeling in a probabilistic framework. The model employs non-parametric cost functions that can be ...
Yunpeng Li, Daniel P. Huttenlocher
MICCAI
2000
Springer
14 years 2 days ago
Nonrigid Registration of 3D Scalar, Vector and Tensor Medical Data
New medical imaging modalities offering multi-valued data, such as phase contrast MRA and diffusion tensor MRI, require general representations for the development of automatized a...
Juan Ruiz-Alzola, Carl-Fredrik Westin, Simon K. Wa...
ICMCS
2005
IEEE
153views Multimedia» more  ICMCS 2005»
14 years 2 months ago
Improved semantic region labeling based on scene context
Semantic region labeling in outdoor scenes, e.g., identifying sky, grass, foliage, water, and snow, facilitates content-based image retrieval, organization, and enhancement. A maj...
Matthew R. Boutell, Jiebo Luo, Christopher M. Brow...
IVC
2008
138views more  IVC 2008»
13 years 8 months ago
Reconstructing relief surfaces
This paper generalizes Markov Random Field (MRF) stereo methods to the generation of surface relief (height) fields rather than disparity or depth maps. This generalization enable...
George Vogiatzis, Philip H. S. Torr, Steven M. Sei...
RT
2004
Springer
14 years 1 months ago
Real-time appearance preserving out-of-core rendering with shadows
Despite recent advances in finding efficient LOD-representations for gigantic 3D objects, rendering of complex, gigabyte-sized models and environments is still a challenging tas...
Michael Guthe, Pavel Borodin, Ákos Bal&aacu...