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» Learning Depth from Stereo
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ICCV
2011
IEEE
12 years 7 months ago
Manhattan Scene Understanding Using Monocular, Stereo, and 3D Features
This paper addresses scene understanding in the context of a moving camera, integrating semantic reasoning ideas from monocular vision with 3D information available through struct...
Alex Flint, David Murray, Ian Reid
CVPR
2003
IEEE
14 years 9 months ago
Spacetime Stereo: A Unifying Framework for Depth from Triangulation
Depth from triangulation has traditionally been treated in a number of separate threads in the computer vision literature, with methods like stereo, laser scanning, and coded stru...
James Davis, Ravi Ramamoorthi, Szymon Rusinkiewicz
IJISTA
2008
164views more  IJISTA 2008»
13 years 7 months ago
Combining Time-Of-Flight depth and stereo images without accurate extrinsic calibration
: We combine a low resolution time-of-flight depth image camera based on photonic mixer devices with two standard cameras in a stereo configuration. We show that this approach is u...
Uwe Hahne, Marc Alexa
VLUDS
2010
187views Visualization» more  VLUDS 2010»
13 years 2 months ago
Survey on Benchmarks for a GPU Based Multi Camera Stereo Matching Algorithm
Stereo matching algorithms and multi camera reconstruction algorithms are usually compared using benchmarks. These benchmarks compare the quality of the resulting depth map or rec...
Klaus Denker, Georg Umlauf
CVPR
2007
IEEE
14 years 5 months ago
Simultaneous Depth Reconstruction and Restoration of Noisy Stereo Images Using Non-local Pixel Distribution
In this paper, we propose a new algorithm that solves both the stereo matching and the image denoising problem simultaneously for a pair of noisy stereo images. Most stereo algorit...
Yong Seok Heo (Seoul National University), Kyoung ...