(1)Department of Electrical and Computer Engineering
Rutgers University, Piscataway, NJ 08854, USA
(2)NEC Laboratories America, Inc.
Princeton, NJ 08540
A technique is presented to combine n data points, each available
with point-dependent uncertainty, when only a subset of these
points come from N << n sources, where N is unknown.
We detect the significant modes of the underlying multivariate
probability distribution using a generalization of the nonparametric
mean shift procedure. The number of detected modes automatically
defines N, while the belonging of a point to the basin of
attraction of a mode provides the fusion rule. The robust data fusion
algorithm was successfully applied to two computer vision problems:
estimating the
multiple affine transformations, and range image segmentation.
IEEE Trans. Systems, Man, Cybernetics-Part B ,
35, 578-586, 2005.
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