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» Creating Generative Models from Range Images
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CVPR
2009
IEEE
17 years 1 months ago
A Robust Approach for Automatic Registration of Aerial Images with Untextured Aerial LiDAR Data
Airborne LiDAR technology draws increasing interest in large-scale 3D urban modeling in recent years. 3D Li- DAR data typically has no texture information. To generate photo-rea...
Lu Wang, Ulrich Neumann
ICCV
2009
IEEE
16 years 11 months ago
Learning Deformable Action Templates from Crowded Videos
In this paper, we present a Deformable Action Template (DAT) model that is learnable from cluttered real-world videos with weak supervisions. In our generative model, an action ...
Benjamin Yao, Song-Chun Zhu
WSCG
2003
151views more  WSCG 2003»
15 years 7 months ago
Large Model Visualization: Techniques and Applications
The visual representation of complex data has always been a major motivation for computer graphics. However, there have always been computer graphics scenes which were too complex...
Dirk Bartz
IVC
2008
141views more  IVC 2008»
15 years 6 months ago
Segmentation of color images via reversible jump MCMC sampling
Reversible jump Markov chain Monte Carlo (RJMCMC) is a recent method which makes it possible to construct reversible Markov chain samplers that jump between parameter subspaces of...
Zoltan Kato
SIBGRAPI
1999
IEEE
15 years 10 months ago
Piecewise Trilinear Deformation of Tomographic Models
: In this work we introduce an iterative method that deforms brain models built from tomographic images. The deformation is used for normalization purposes: individual models are d...
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