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USSR: A Unified Framework for Simultaneous Smoothing, Segmentation, and Registration of Multiple Images
Lord, N.A.; Ho, J.; Vemuri, B.C.;
Computer Vision, 2007. ICCV 2007. IEEE 11th International Conference on
14-21 Oct. 2007
Page(s):1
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6
Abstract:
Image smoothing, segmentation and registration are three key processing steps in many computer vision applications. In this paper, we present a novel framework for achieving all three seemingly disparate goals simultaneously across multiple images in a unified framework via a single variational principle. The proposed method ensures that the estimated registration is unbiased and all compositions of registration maps are compatible. The solution to the variational problem is achieved efficiently by solving a coupled system of partial differential equations over the common domain on which the registration maps are defined. The effectiveness of the proposed framework is demonstrated on sets of real images.
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