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» Self-Calibration Using the Linear Projective Reconstruction
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108
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CVPR
1997
IEEE
15 years 5 months 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
100
Voted
ESA
2009
Springer
98views Algorithms» more  ESA 2009»
15 years 7 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...
111
Voted
ICCV
2003
IEEE
16 years 3 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
102
Voted
CORR
2010
Springer
103views Education» more  CORR 2010»
15 years 1 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
132
Voted
ECCV
2008
Springer
16 years 3 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