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ICCV
2009
IEEE
1556views Computer Vision» more  ICCV 2009»
16 years 11 months ago
Kernel Methods for Weakly Supervised Mean Shift Clustering
Mean shift clustering is a powerful unsupervised data analysis technique which does not require prior knowledge of the number of clusters, and does not constrain the shape of th...
Oncel Tuzel, Fatih Porikli, Peter Meer
CVPR
1999
IEEE
16 years 8 months ago
Non-Metric Calibration of Wide-Angle Lenses and Polycameras
Images taken with wide-angle cameras tend to have severe distortions which pull points towards the optical center: This paper proposes a method for recovering the disrortion param...
Rahul Swaminathan, Shree K. Nayar
ICCV
2007
IEEE
16 years 8 months ago
Correspondence Establishment in Statistical Modeling of Shapes with Arbitrary Topology
Correspondence establishment is a key step in statistical shape model building. There are several automated methods for solving this problem in 3D, but they usually can only handl...
Ekaterina Syrkina, Gábor Székely, Mi...
ICCV
2005
IEEE
16 years 8 months ago
Dynamic Refraction Stereo
In this paper we consider the problem of reconstructing the 3D position and surface normal of points on an unknown, arbitrarily-shaped refractive surface. We show that two viewpoi...
Nigel J. W. Morris, Kiriakos N. Kutulakos
ICML
2004
IEEE
16 years 7 months ago
A needle in a haystack: local one-class optimization
This paper addresses the problem of finding a small and coherent subset of points in a given data. This problem, sometimes referred to as one-class or set covering, requires to fi...
Koby Crammer, Gal Chechik