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» Learning epipolar geometry from image sequences
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CVPR
2003
IEEE
14 years 9 months ago
Optimal Segmentation of Dynamic Scenes from Two Perspective Views
We present a novel algorithm for optimally segmenting dynamic scenes containing multiple rigidly moving objects. We cast the motion segmentation problem as a constrained nonlinear...
René Vidal, Shankar Sastry
SCALESPACE
2009
Springer
14 years 2 months ago
Computational Geometry-Based Scale-Space and Modal Image Decomposition
In this paper a framework for defining scale-spaces, based on the computational geometry concepts of α-shapes, is proposed. In this approach, objects (curves or surfaces) of incr...
Anatole Chessel, Bertrand Cinquin, Sabine Bardin, ...
CVPR
2012
IEEE
11 years 10 months ago
Seeing double without confusion: Structure-from-motion in highly ambiguous scenes
3D reconstruction from an unordered set of images may fail due to incorrect epipolar geometries (EG) between image pairs arising from ambiguous feature correspondences. Previous m...
Nianjuan Jiang, Ping Tan, Loong Fah Cheong
TOG
2008
926views more  TOG 2008»
13 years 7 months ago
3D-modeling by ortho-image generation from image sequences
A semi-automatic approach is presented that enables the generation of a high-quality 3D model of a static object from an image sequence that was taken by a moving, uncalibrated co...
Thorsten Thormählen, Hans-Peter Seidel
PG
2002
IEEE
14 years 15 days ago
Robust Acquisition of 3D Informations from Short Image Sequences
This paper addresses the problem of 3D reconstruction from a set of viewpoints on a short baseline. Its main contribution is the development of a robust algorithm which can extrac...
Sylvain Paris, François X. Sillion