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ICCV
2011
IEEE
14 years 22 days ago
Decoupling Photometry and Geometry in Dense Variational Camera Calibration
We introduce a spatially dense variational approach to estimate the calibration of multiple cameras in the context of 3D reconstruction. We propose a relaxation scheme which allow...
Mathieu Aubry, Kalin Kolev, Bastian Goldluecke, Da...
ICDAR
2011
IEEE
14 years 9 days ago
A Shape Descriptor Combining Logarithmic-Scale Histogram of Radon Transform and Phase-Only Correlation Function
—A shape descriptor combining the histogram of the Radon transform, the logarithmic-scale histogram, and the phase-only correlation function is proposed. Applying a logarithmic-s...
Makoto Hasegawa, Salvatore Tabbone
110
Voted
CVPR
2005
IEEE
16 years 2 months ago
Correspondence Expansion for Wide Baseline Stereo
We present a new method for generating large numbers of accurate point correspondences between two wide baseline images. This is important for structure-from-motion algorithms, wh...
Kevin L. Steele, Parris K. Egbert
97
Voted
CVPR
2006
IEEE
16 years 2 months ago
Reciprocal Image Features for Uncalibrated Helmholtz Stereopsis
Helmholtz stereopsis is a surface reconstruction method that exploits reciprocity for the recovery of 3D shape without an assumed BRDF model, and it has been shown to yield high q...
Todd Zickler
95
Voted
CVPR
2008
IEEE
16 years 2 months ago
Modeling complex luminance variations for target tracking
Lambert's model is widely used in low level computer vision algorithms such as matching, tracking or optical flow computation for example. However, it is well known that thes...
Éric Marchand, Christophe Collewet