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» Dense disparity estimation from omnidirectional images
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PAMI
2011
12 years 11 months ago
Motion Field Estimation from Alternate Exposure Images
—Traditional optical flow algorithms rely on consecutive short-exposed images. In this work, we make use of an additional long-exposed image for motion field estimation. Long-e...
Anita Sellent, Martin Eisemann, Bastian Goldlü...
ICASSP
2010
IEEE
13 years 8 months ago
Motion estimation from compressed linear measurements
This paper presents a novel algorithm for computing the relative motion between images from compressed linear measurements. We propose a geometry based correlation model that desc...
Vijayaraghavan Thirumalai, Pascal Frossard
ICPR
2010
IEEE
13 years 10 months ago
Geodesic Active Fields on the Sphere
In this paper, we propose a novel method to register images defined on spherical meshes. Instances of such spherical images include inflated cortical feature maps in brain medical ...
Dominique Zosso, Jean-Philippe Thiran
CVPR
2008
IEEE
14 years 10 months ago
A fast local descriptor for dense matching
We introduce a novel local image descriptor designed for dense wide-baseline matching purposes. We feed our descriptors to a graph-cuts based dense depth map estimation algorithm ...
Engin Tola, Vincent Lepetit, Pascal Fua
IWCM
2004
Springer
14 years 1 months ago
Towards a Multi-camera Generalization of Brightness Constancy
Standard optical flow methods for motion or disparity estimation use a brightness constancy constraint equation (BCCE). This BCCE either handles a moving camera imaging a non-movi...
Hanno Scharr