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» A new stereo matching algorithm for binocular vision
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BMVC
1998
14 years 10 months ago
Benchmarking of Bootstrap Temporal Stereo using Statistical and Physical Scene Modelling
Temporal stereo vision algorithms can offer improved robustness, however, this can only be delivered after several frames of a stereo image sequence have been processed. We presen...
S. Crossley, Neil A. Thacker, N. Luke Seed
ICPR
2002
IEEE
15 years 10 months ago
Featureless 6 DoF Pose Refinement from Stereo Images
We present a pose estimation method from an initial unreliable guess using calibrated stereo images. The approach does not rely on a priori known salient features on the surface. ...
Wolfgang Sepp, Gerd Hirzinger
86
Voted
ICCV
2009
IEEE
15 years 4 months ago
Multiperspective Stereo Matching and Volumetric Reconstruction
Stereo matching and volumetric reconstruction are the most explored 3D scene recovery techniques in computer vision. Many existing approaches assume perspective input images and us...
Yuanyuan Ding, Jingyi Yu, and Peter Sturm
CVPR
2007
IEEE
15 years 11 months ago
Evaluation of Cost Functions for Stereo Matching
Stereo correspondence methods rely on matching costs for computing the similarity of image locations. In this paper we evaluate the insensitivity of different matching costs with ...
Daniel Scharstein, Heiko Hirschmüller
ICCV
2005
IEEE
15 years 11 months ago
Discontinuity Preserving Stereo with Small Baseline Multi-Flash Illumination
Currently, sharp discontinuities in depth and partial occlusions in multiview imaging systems pose serious challenges for many dense correspondence algorithms. However, it is impo...
Rogerio Feris, Ramesh Raskar, Longbin Chen, Kar-Ha...