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» Graph-Theoretical Methods in Computer Vision
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CVPR
2012
IEEE
13 years 2 months ago
Large scale metric learning from equivalence constraints
In this paper, we raise important issues on scalability and the required degree of supervision of existing Mahalanobis metric learning methods. Often rather tedious optimization p...
Martin Köstinger, Martin Hirzer, Paul Wohlhar...
ICPR
2008
IEEE
16 years 1 months ago
Real-time camera position and posture estimation using a feature landmark database with priorities
In the field of computer vision, many kinds of camera parameter estimation methods have been proposed. As one of these methods, an extrinsic camera parameter estimation method tha...
Takafumi Taketomi, Tomokazu Sato, Naokazu Yokoya
375
Voted

Publication
1147views
16 years 10 months ago
PDE-based fast local level set method
We develop a fast method to localize the level set method of Osher and Sethian (1988, Journal of Computational Physics) and address two important issues that are intrinsic to the l...
Danping Peng, Barry Merriman, Stanley Osher, Hongk...
70
Voted
ICPR
2000
IEEE
15 years 4 months ago
Two-Stage Computational Cost Reduction Algorithm Based on Mahalanobis Distance Approximations
For many pattern recognition methods, high recognition accuracy is obtained at very high expense of computational cost. In this paper, a new algorithm that reduces the computation...
Fang Sun, Shinichiro Omachi, Nei Kato, Hirotomo As...
111
Voted
ISVC
2009
Springer
15 years 7 months ago
Accurate Real-Time Disparity Estimation with Variational Methods
Estimating the disparity field between two stereo images is a common task in computer vision, e.g., to determine a dense depth map. Variational methods currently are among the mos...
Sergey Kosov, Thorsten Thormählen, Hans-Peter...