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» Dense disparity estimation from omnidirectional images
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ECCV
1996
Springer
14 years 9 months ago
Dense Depth Map Reconstruction: A Minimization and Regularization Approach which Preserves Discontinuities
We present a variational approachto dense stereo reconstructionwhich combines powerful tools such as regularization and multi-scale processing to estimate directly depth from a num...
Luc Robert, Rachid Deriche
RAS
2010
216views more  RAS 2010»
13 years 5 months ago
A nonparametric learning approach to range sensing from omnidirectional vision
We present a novel approach to estimating depth from single omnidirectional camera images by learning the relationship between visual features and range measurements available dur...
Christian Plagemann, Cyrill Stachniss, Jürgen...
ECCV
2004
Springer
14 years 23 days ago
Extrinsic Camera Parameter Recovery from Multiple Image Sequences Captured by an Omni-Directional Multi-camera System
Recently, many types of omni-directional cameras have been developed and attracted much attention in a number of different fields. Especially, the multi-camera type of omni-direc...
Tomokazu Sato, Sei Ikeda, Naokazu Yokoya
MMSP
2008
IEEE
245views Multimedia» more  MMSP 2008»
14 years 1 months ago
A convex programming approach for color stereo matching
—This paper addresses the problem of dense disparity estimation from a pair of color stereo images. Based on a convex set theoretic formulation, the stereo matching problem is ca...
Wided Miled, Béatrice Pesquet-Popescu, Jean...
ICIP
2010
IEEE
13 years 5 months ago
Plenoptic based super-resolution for omnidirectional image sequences
This paper addresses the reconstruction of high resolution omnidirectional images from a low resolution video acquired by an omnidirectional camera moving in a static scene. In or...
Luigi Bagnato, Yannick Boursier, Pascal Frossard, ...