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» Spacetime Stereo: Shape Recovery for Dynamic Scenes
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CVPR
2003
IEEE
11 years 3 months ago
Spacetime Stereo: Shape Recovery for Dynamic Scenes
This paper extends the traditional binocular stereo problem into the spacetime domain, in which a pair of video streams is matched simultaneously instead of matching pairs of imag...
Li Zhang, Brian Curless, Steven M. Seitz
SCALESPACE
2009
Springer
10 years 8 months ago
Generic Scene Recovery Using Multiple Images
In this paper, a generative model based method for recovering both the shape and the reflectance of the surface(s) of a scene from multiple images is presented, assuming that illu...
Kuk-Jin Yoon, Emmanuel Prados, Peter F. Sturm
3DPVT
2006
IEEE
204views Visualization» more  3DPVT 2006»
10 years 7 months ago
Multimodal 3D Shape Recovery from Texture, Silhouette and Shadow Information
Recent efforts attempt to combine together information of different passive methods. Critical issues in this research are the choice of data and how to combine such data in order ...
Luca Ballan, Guido Maria Cortelazzo
CVPR
2003
IEEE
11 years 3 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
CVPR
2000
IEEE
11 years 3 months ago
Improved Motion Stereo Matching Based on a Modified Dynamic Programming
A new method for computing precise depth map estimates of 3D shape of a moving object is proposed. 3D shape recovery in motion stereo is formulated as a matching optimization prob...
Mikhail Mozerov, Vitaly Kober, Tae-Sun Choi
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