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CVPR
2007
IEEE
16 years 9 months ago
Optimal Dimensionality Discriminant Analysis and Its Application to Image Recognition
Dimensionality reduction is an important issue when facing high-dimensional data. For supervised dimensionality reduction, Linear Discriminant Analysis (LDA) is one of the most po...
Feiping Nie, Shiming Xiang, Yangqiu Song, Changshu...
CVPR
2008
IEEE
16 years 9 months ago
Smoothing-based Optimization
We propose an efficient method for complex optimization problems that often arise in computer vision. While our method is general and could be applied to various tasks, it was mai...
Marius Leordeanu, Martial Hebert
ICCV
2007
IEEE
16 years 9 months ago
Globally Optimal Affine and Metric Upgrades in Stratified Autocalibration
We present a practical, stratified autocalibration algorithm with theoretical guarantees of global optimality. Given a projective reconstruction, the first stage of the algorithm ...
Manmohan Krishna Chandraker, Sameer Agarwal, David...
ICCV
1999
IEEE
16 years 9 months ago
Optimal Filters for Gradient-based Motion Estimation
Gradient based approaches for motion estimation (Optical-Flow) estimate the motion of an image sequence based on local changes in the image intensities. In order to best evaluate ...
Michael Elad, Patrick C. Teo, Yacov Hel-Or
ECCV
2008
Springer
16 years 9 months ago
Robust Optimal Pose Estimation
Abstract. We study the problem of estimating the position and orientation of a calibrated camera from an image of a known scene. A common problem in camera pose estimation is the e...
Olof Enqvist, Fredrik Kahl