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» Bayesian 3D Modeling from Images Using Multiple Depth Maps
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ICASSP
2009
IEEE
15 years 4 months ago
Multi-view tracking of articulated human motion in silhouette and pose manifolds
This paper presents a multi-view articulated human motion tracking framework using particle filter with manifold learning through Gaussian process latent variable model. The dime...
Feng Guo, Gang Qian
MICCAI
1998
Springer
15 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'...
ICVGIP
2004
14 years 11 months ago
Depth+Texture Representation for Image Based Rendering
Image Based Rendering holds a lot of promise for navigating through a real world scene without modeling it manually. Different representations have been proposed for IBR in the li...
P. J. Narayanan, Sashi Kumar Penta, Sireesh Reddy ...
ICCV
2005
IEEE
15 years 3 months ago
Uncalibrated Perspective Reconstruction of Deformable Structures
Reconstruction of 3D structures from uncalibrated image sequences has a wealthy history. Most work has been focused on rigid objects or static scenes. This paper studies the probl...
Jing Xiao, Takeo Kanade
ICPR
2002
IEEE
15 years 11 months ago
Scene Classification from Dense Disparity Maps in Indoor Environments
We present our approach for scene classification in dense disparity maps from a binocular stereo system. The classification result is used for tracking and navigation purposes. Th...
Darius Burschka, Gregory D. Hager