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» Linear Multi View Reconstruction with Missing Data
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SCIA
2009
Springer
305views Image Analysis» more  SCIA 2009»
14 years 18 days ago
A Convex Approach to Low Rank Matrix Approximation with Missing Data
Many computer vision problems can be formulated as low rank bilinear minimization problems. One reason for the success of these problems is that they can be efficiently solved usin...
Carl Olsson, Magnus Oskarsson
CVPR
2003
IEEE
14 years 8 months ago
The Viewing Graph
The problem we study is; Given N views and a subset of the ??? ??? interview fundamental matrices, which of the other fundamental matrices can we compute using only the precompute...
Noam Levi, Michael Werman
ICCV
2001
IEEE
14 years 7 months ago
A Linear Dual-Space Approach to 3D Surface Reconstruction from Occluding Contours using Algebraic Surfaces
We present a linear approach to the 3D reconstruction problem from occluding contours using algebraic surfaces. The problem of noise and missing data in the occluding contours extr...
Kongbin Kang, Jean-Philippe Tarel, Richard Fishman...
BTW
2007
Springer
122views Database» more  BTW 2007»
14 years 7 days ago
Managing the Desktop Document Dataspace
: Documents such as spreadsheets are easy to create, edit, and exchange. However, their use causes a set of well known problems such as poor data quality, lack of multi user suppor...
Alexander Hilliger von Thile
3DPVT
2006
IEEE
199views Visualization» more  3DPVT 2006»
14 years 4 days ago
Fast Level Set Multi-View Stereo on Graphics Hardware
In this paper, we show the importance and feasibility of much faster multi-view stereo reconstruction algorithms relying almost exclusively on graphics hardware. Reconstruction al...
Patrick Labatut, Renaud Keriven, Jean-Philippe Pon...