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» Bayesian 3D Modeling from Images Using Multiple Depth Maps
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3DPVT
2006
IEEE
175views Visualization» more  3DPVT 2006»
14 years 1 months ago
On 3D Retrieval from Photos
In this paper, we propose a method for 3D-model retrieval from one or more photos. This method provides an ”optimal” selection of 2D views to represent a 3D-model, and a proba...
Tarik Filali Ansary, Jean-Philippe Vandeborre, Moh...
GI
2009
Springer
13 years 5 months ago
A Framework for Multiple Radar and Multiple 2D/3D Camera Fusion
Abstract: In this paper we present a framework for the fusion of radar and image information. In the case considered here we combine information from multiple closerange radars to ...
Marek Schikora, Benedikt Romba
3DPVT
2006
IEEE
295views Visualization» more  3DPVT 2006»
13 years 9 months ago
Efficient Sparse 3D Reconstruction by Space Sweeping
This paper introduces a feature based method for the fast generation of sparse 3D point clouds from multiple images with known pose. We extract sub-pixel edge elements (2D positio...
Joachim Bauer, Christopher Zach, Horst Bischof
ISBI
2008
IEEE
14 years 8 months ago
Segmentation of fetal 3D ultrasound based on statistical prior and deformable model
A statistical variational framework is proposed for the fetus and uterus segmentation in ultrasound images. The Rayleigh and exponential distributions are used to model the pixel ...
Jérémie Anquez, Elsa D. Angelini, Is...
CVPR
2003
IEEE
14 years 9 months ago
A Bayesian Approach to Image-Based Visual Hull Reconstruction
We present a Bayesian approach to image-based visual hull reconstruction. The 3-D shape of an object of a known class is represented by sets of silhouette views simultaneously obs...
Kristen Grauman, Gregory Shakhnarovich, Trevor Dar...