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» Recognition of Parametrised Models from 3D Data
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WSC
2007
15 years 3 months ago
SIMVIS: interactive visual analysis of large and time-dependent 3D simulation data
SimVis is a novel technology for the interactive visual analysis of large and complex flow data which results from Computational Fluid Dynamics (CFD) simulation. The new technolo...
Helmut Doleisch
CVPR
2005
IEEE
16 years 3 months ago
Discriminative Learning of Markov Random Fields for Segmentation of 3D Scan Data
We address the problem of segmenting 3D scan data into objects or object classes. Our segmentation framework is based on a subclass of Markov Random Fields (MRFs) which support ef...
Dragomir Anguelov, Benjamin Taskar, Vassil Chatalb...
WACV
2002
IEEE
15 years 6 months ago
Range Synthesis for 3D Environment Modeling
In this paper a range synthesis algorithm is proposed as an initial solution to the problem of 3D environment modeling from sparse data. We develop a statistical learning method f...
Luz Abril Torres-Méndez, Gregory Dudek
CVPR
2010
IEEE
15 years 9 months ago
Rectifying rolling shutter video from hand-held devices
This paper presents a method for rectifying video sequences from rolling shutter (RS) cameras. In contrast to previous RS rectification attempts we model distortions as being cau...
Per-Erik Forssen, Erik Ringaby
CVPR
2009
IEEE
16 years 8 months ago
Topology Dictionary with Markov Model for 3D Video Content-Based Skimming and Description
This paper presents a novel approach to skim and describe 3D videos. 3D video is an imaging technology which consists in a stream of 3D models in motion captured by a synchronized ...
Tony Tung (Kyoto University), Takashi Matsuyama (K...