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ICCV
2007
IEEE
15 years 11 months ago
Locally Smooth Metric Learning with Application to Image Retrieval
In this paper, we propose a novel metric learning method based on regularized moving least squares. Unlike most previous metric learning methods which learn a global Mahalanobis d...
Dit-Yan Yeung, Hong Chang
ECCV
2000
Springer
15 years 11 months ago
Regularised Range Flow
Extending a differential total least squares method for range flow estimation we present an iterative regularisation approach to compute dense range flow fields. We demonstrate how...
Bernd Jähne, Hagen Spies, John L. Barron
VIS
2008
IEEE
154views Visualization» more  VIS 2008»
15 years 10 months ago
Volume MLS Ray Casting
The method of Moving Least Squares (MLS) is a popular framework for reconstructing continuous functions from scattered data due to its rich mathematical properties and well-underst...
Christian Ledergerber, Gaël Guennebaud, Miriah ...
SMI
2007
IEEE
194views Image Analysis» more  SMI 2007»
15 years 3 months ago
Robust Smooth Feature Extraction from Point Clouds
Defining sharp features in a given 3D model facilitates a better understanding of the surface and aids visualizations, reverse engineering, filtering, simplification, non-photo...
Joel Daniels II, Linh K. Ha, Tilo Ochotta, Cl&aacu...
ICCV
2003
IEEE
15 years 2 months ago
Meshfree Particle Method
Many of the computer vision algorithms have been posed in various forms of differential equations, derived from minimization of specific energy functionals, and the finite eleme...
Huafeng Liu, Pengcheng Shi