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CVPR
2001
IEEE
14 years 6 months ago
A Probabilistic Framework for Surface Reconstruction from Multiple Images
This paper presents a novel probabilistic framework for 3D surface reconstruction from multiple stereo images. The method works on a discrete voxelized representation of the scene...
Motilal Agrawal, Larry S. Davis
DAGM
2006
Springer
13 years 8 months ago
Robust Variational Segmentation of 3D Objects from Multiple Views
We propose a probabilistic formulation of 3D segmentation given a series of images from calibrated cameras. Instead of segmenting each image separately in order to build a 3D surfa...
Kalin Kolev, Thomas Brox, Daniel Cremers
3DPVT
2004
IEEE
153views Visualization» more  3DPVT 2004»
13 years 8 months ago
Surface Reconstruction from the Projection of Points, Curves and Contours
In this paper the problem of building and reconstructing geometrical surface models from multiple calibrated images is considered. We build an appropriate statistical 3D model fro...
Jan Erik Solem, Fredrik Kahl
ECCV
2010
Springer
13 years 7 months ago
Probabilistic Deformable Surface Tracking From Multiple Videos
Abstract. In this paper, we address the problem of tracking the temporal evolution of arbitrary shapes observed in multi-camera setups. This is motivated by the ever growing number...
3DPVT
2006
IEEE
240views Visualization» more  3DPVT 2006»
13 years 10 months ago
Global Depth from Epipolar Volumes--A General Framework for Reconstructing Non-Lambertian Surfaces
Using Epipolar Image Analysis in the context of the correspondence finding problem in depth reconstruction has several advantages. One is the elegant incorporation of prior knowl...
Timo Stich, Art Tevs, Marcus A. Magnor