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» On local intrinsic dimension estimation and its applications
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ICCV
2001
IEEE
14 years 9 months ago
The Variable Bandwidth Mean Shift and Data-Driven Scale Selection
We present two solutions for the scale selection problem in computer vision. The rst one is completely nonparametric and is based on the the adaptive estimation of the normalized ...
Dorin Comaniciu, Visvanathan Ramesh, Peter Meer
ECCV
2002
Springer
14 years 9 months ago
Image Features Based on a New Approach to 2D Rotation Invariant Quadrature Filters
Abstract. Quadrature filters are a well known method of low-level computer vision for estimating certain properties of the signal, as there are local amplitude and local phase. How...
Michael Felsberg, Gerald Sommer
CSDA
2006
142views more  CSDA 2006»
13 years 7 months ago
A Bayesian approach to bandwidth selection for multivariate kernel density estimation
: Kernel density estimation for multivariate data is an important technique that has a wide range of applications. However, it has received significantly less attention than its un...
Xibin Zhang, Maxwell L. King, Rob J. Hyndman
ECCV
2008
Springer
14 years 9 months ago
Differential Spatial Resection - Pose Estimation Using a Single Local Image Feature
Robust local image features have been used successfully in robot localization and camera pose estimation; region tracking using affine warps is considered state of the art also for...
Kevin Köser, Reinhard Koch
DCOSS
2010
Springer
13 years 11 months ago
Approximate Distributed Kalman Filtering for Cooperative Multi-agent Localization
Abstract. We consider the problem of estimating the locations of mobile agents by fusing the measurements of displacements of the agents as well as relative position measurements b...
Prabir Barooah, Wm. Joshua Russell, João P....