TY - JOUR
T1 - Robust fusion of uncertain information
AU - Chen, Haifeng
AU - Meer, Peter
N1 - Funding Information:
Manuscript received 2003; revised 2004. This work was supported by the National Science Foundation under Grant IRI 99-87695. This paper was recommended by Guest Editor B. Bhanu. H. Chen is with the NEC Laboratories America, Inc., Princeton, NJ 08540 USA (e-mail: [email protected]) P. Meer is with the Electrical and Computer Engineering Department, Rutgers University, Piscataway, NJ 08854 USA (e-mail: [email protected]) Digital Object Identifier 10.1109/TSMCB.2005.846659
PY - 2005/6
Y1 - 2005/6
N2 - 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.
AB - 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.
KW - Computer vision
KW - Information fusion
KW - Mean shift
KW - Robust analysis
UR - https://www.scopus.com/pages/publications/20444410353
UR - https://www.scopus.com/pages/publications/20444410353#tab=citedBy
U2 - 10.1109/TSMCB.2005.846659
DO - 10.1109/TSMCB.2005.846659
M3 - Article
C2 - 15971926
AN - SCOPUS:20444410353
SN - 1083-4419
VL - 35
SP - 578
EP - 586
JO - IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
JF - IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IS - 3
ER -