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» Bayesian 3D Modeling from Images Using Multiple Depth Maps
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ICIP
2004
IEEE
15 years 11 months ago
Markerless motion capture with single and multiple cameras
The aim of Optical Motion Capture is to sequentially estimate the true state X of the subject (generally an articulated body) at any time instant tk from a set of data Dk, capture...
Paris Kaimakis, Joan Lasenby
CVPR
1999
IEEE
15 years 11 months ago
A Multi-View Approach to Motion and Stereo
This paper presents a new approach to computing dense depth and motion estimates from multiple images. Rather than computing a single depth or motion map from such a collection, w...
Richard Szeliski
ICIP
2007
IEEE
15 years 11 months ago
Rate-Distortion Optimal Depth Maps in the Wavelet Domain for Free-Viewpoint Rendering
We consider the problem of estimating and encoding depth maps from multiple views in the context of 3D-TV with free-viewpoint rendering. We propose a novel codec based on the Rate...
Matthieu Maitre, Yoshihisa Shinagawa, Minh N. Do
MICCAI
2007
Springer
15 years 10 months ago
Real-Time Synthesis of Image Slices in Deformed Tissue from Nominal Volume Images
Abstract. This paper presents a fast image synthesis procedure for elastic volumes under deformation. Given the node displacements of a mesh and the 3D image voxel data of an undef...
Orcun Goksel, Septimiu E. Salcudean
CVPR
2010
IEEE
15 years 6 months ago
Building Reconstruction using Manhattan-World Grammars
We present a passive computer vision method that exploits existing mapping and navigation databases in order to automatically create 3D building models. Our method defines a gramm...
Carlos Vanegas, Daniel Aliaga, Bedrich Benes