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ECCV
2002
Springer
14 years 6 months ago
Linear Multi View Reconstruction with Missing Data
General multi view reconstruction from affine or projective cameras has so far been solved most efficiently using methods of factorizing image data matrices into camera and scene p...
Carsten Rother, Stefan Carlsson
ICCV
2003
IEEE
14 years 6 months ago
Linear Multi-View Reconstruction of Points, Lines, Planes and Cameras using a Reference Plane
This paper presents a new linear method for reconstructing simultaneously 3D features (points, lines and planes) and cameras from many perspective views by solving a single linear...
Carsten Rother
IJCV
2002
111views more  IJCV 2002»
13 years 4 months ago
Linear Multi View Reconstruction and Camera Recovery Using a Reference Plane
This paper presents a linear algorithm for simultaneous computation of 3D points and camera positions from multiple perspective views based on having a reference plane visible in a...
Carsten Rother, Stefan Carlsson
ICCV
2001
IEEE
14 years 6 months ago
Linear Multi View Reconstruction and Camera Recovery
This paper presents a linear algorithm for the simultaneous computation of 3D points and camera positions from multiple perspective views, based on having four points on a referen...
Carsten Rother, Stefan Carlsson
IVC
2006
133views more  IVC 2006»
13 years 4 months ago
A subspace method for projective reconstruction from multiple images with missing data
In this paper, we consider the problem of projective reconstruction based on the subspace method. Unlike existing subspace methods which require that all the points are visible in...
W. K. Tang, Y. S. Hung