NDLI: Information Fusion Based on Optical Flow Field and Feature Extraction for Solving Registration Problems

Content Provider	IEEE Xplore Digital Library
Author	Ze-Xu Zhang Ping-Yuan Cui
Copyright Year	2006
Description	Author affiliation: Deep Space Exploration Res. Center, Harbin Inst. of Technol., HeiongJiang (Ze-Xu Zhang; Ping-Yuan Cui)
Abstract	A novel information fusion method for solving the automated registration problems was proposed. The main information sources include the global optical flow field and feature extracted from images. Our primary contribution is an improved estimation algorithm for computing the optical flow field using anisotropic diffusion. Moreover, we show that the registration process can be consolidated through the background registration and moving target registration that estimates global deformation while ensuring robustness to systematic errors such as those caused by moving foreground objects or occlusion. The validity and accuracy of the algorithm of optical flow on synthetic and real data are demonstrated. The simulation experiments for infrared images show that the fusion method is ideally suited for the application of automated image registration
Sponsorship	IEEE Syst., Man and Cybernetics Hebei Univ.
Starting Page	4002
Ending Page	4007
File Size	598725
Page Count	6
File Format	PDF
ISBN	1424400619
DOI	10.1109/ICMLC.2006.258799
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-08-13
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image motion analysis Feature extraction Optical computing Equations Geometrical optics Computer vision Data mining Robustness Infrared imaging Computational modeling Optical flow field Automated registration Information fusion
Content Type	Text
Resource Type	Article

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