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» Recovering Depth in Stereo Calculation
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ICIP
2003
IEEE
15 years 11 days ago
FFT-based disparity estimation for stereo image coding
In stereovision systems, the depth information of objects in the scene can be obtained by estimating the disparity, i.e. the displacement of corresponding pixels in the image pair...
Udo Ahlvers, Udo Zölzer, Stefan Rechmeier
CSE
2009
IEEE
14 years 2 months ago
Real Time Rectification for Stereo Correspondence
Duplicating the full dynamic capabilities of the human eye-brain combination is a difficult task but an important goal because of the wide application that a system which can acqu...
Khurram Jawed, John Morris, Tariq Khan, Georgy L. ...
CVPR
2008
IEEE
15 years 23 days ago
Dense 3D reconstruction from specularity consistency
In this work, we consider the dense reconstruction of specular objects. We propose the use of a specularity constraint, based on surface normal/depth consistency, to define a matc...
Diego Nehab, Tim Weyrich, Szymon Rusinkiewicz
CVPR
2009
IEEE
15 years 6 months ago
Manhattan-world Stereo
Multi-view stereo (MVS) algorithms now produce reconstructions that rival laser range scanner accuracy. However, stereo algorithms require textured surfaces, and therefore work ...
Brian Curless, Richard Szeliski, Steven M. Seitz, ...
3DPVT
2006
IEEE
240views Visualization» more  3DPVT 2006»
14 years 4 months ago
Object Centered Stereo: Displacement Map Estimation Using Texture and Shading
We consider the problem of recovering 3D surface displacements using both shading and multi-view stereo cues. In contrast to traditional disparity or depth map representations, th...
Neil Birkbeck, Dana Cobzas, Martin Jägersand