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CVPR
2003
IEEE
14 years 6 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
IJCV
2000
225views more  IJCV 2000»
13 years 4 months ago
Depth from Defocus vs. Stereo: How Different Really Are They?
Depth from Focus (DFF) and Depth from Defocus (DFD) methods are theoretically unified with the geometric triangulation principle. Fundamentally, the depth sensitivities of DFF and ...
Yoav Y. Schechner, Nahum Kiryati
CVPR
2007
IEEE
14 years 6 months ago
Mumford-Shah Meets Stereo: Integration of Weak Depth Hypotheses
Recent results on stereo indicate that an accurate segmentation is crucial for obtaining faithful depth maps. Variational methods have successfully been applied to both image segm...
Thomas Pock, Christopher Zach, Horst Bischof
CVPR
2009
IEEE
1037views Computer Vision» more  CVPR 2009»
14 years 12 months ago
Piecewise Planar City 3D Modeling from Street View Panoramic Sequences
City environments often lack textured areas, contain repetitive structures, strong lighting changes and therefore are very difficult for standard 3D modeling pipelines. We prese...
Branislav Micusík, Jana Kosecka