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ICIP
2008
IEEE
16 years 6 months ago
Kernel-based high-dimensional histogram estimation for visual tracking
We propose an approach for non-rigid tracking that represents objects by their set of distribution parameters. Compared to joint histogram representations, a set of parameters suc...
Allen Tannenbaum, James G. Malcolm, Peter Karasev
ICPR
2008
IEEE
16 years 6 months ago
CDIKP: A highly-compact local feature descriptor
A new feature descriptor is presented for object and scene recognition. The new approach, called CDIKP, uniquely combines the scale-invariant feature detection with a robust proje...
Quan Wang, Suya You, Yun-Ta Tsai
133
Voted
MICCAI
2009
Springer
16 years 6 months ago
Non-rigid Registration of High Angular Resolution Diffusion Images Represented by Gaussian Mixture Fields
In this paper, we present a novel algorithm for non-rigidly registering two high angular resolution diffusion weighted MRIs (HARDI), each represented by a Gaussian mixture field (G...
Baba C. Vemuri, Guang Cheng 0002, Paul R. Carney, ...
ICPR
2006
IEEE
16 years 6 months ago
Calibrating Freely Moving Cameras
We present a novel practical method for self-calibrating a camera which may move freely in space while changing it internal parameters by zooming. We show that point correspondenc...
Hassan Foroosh, Imran N. Junejo, Xiaochun Cao
ICML
2008
IEEE
16 years 5 months ago
Graph kernels between point clouds
Point clouds are sets of points in two or three dimensions. Most kernel methods for learning on sets of points have not yet dealt with the specific geometrical invariances and pra...
Francis R. Bach