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» Self-Calibration Using the Linear Projective Reconstruction
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CVPR
1997
IEEE
14 years 20 days ago
Uncalibrated 1D projective camera and 3D affine reconstruction of lines
We describe a linear algorithm to recover 30 afJine slzape/niotionfrom line correspondences over three views with uncalibrated afine cameras. The key idea is the introduction of a...
Long Quan
ESA
2009
Springer
98views Algorithms» more  ESA 2009»
14 years 3 months ago
Reconstructing 3-Colored Grids from Horizontal and Vertical Projections Is NP-hard
We consider the problem of coloring a grid using k colors with the restriction that in each row and each column has an specific number of cells of each color. In an already classi...
Christoph Dürr, Flavio Guiñez, Mart&ia...
ICCV
2003
IEEE
14 years 10 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
CORR
2010
Springer
103views Education» more  CORR 2010»
13 years 8 months ago
Spatially-Adaptive Reconstruction in Computed Tomography Based on Statistical Learning
We propose a direct reconstruction algorithm for Computed Tomography, based on a local fusion of a few preliminary image estimates by means of a non-linear fusion rule. One such ru...
Joseph Shtok, Michael Zibulevsky, Michael Elad
ECCV
2008
Springer
14 years 10 months ago
Perspective Nonrigid Shape and Motion Recovery
We present a closed form solution to the nonrigid shape and motion (NRSM) problem from point correspondences in multiple perspective uncalibrated views. Under the assumption that t...
Richard Hartley, René Vidal