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Nonrigid point registration for 2D curves and 3D surfaces and its various applications
<span title="2013-06-04">2013</span>
<i title="IOP Publishing">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/zuggg3zvsfaatpw6invuoevl7a" style="color: black;">Physics in Medicine and Biology</a>
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A nonrigid B-spline based point-matching method (BPM) is proposed to match dense surface points. The method solves both the point correspondence and nonrigid transformation without features extraction. The registration method integrates a motion model, which combines a global transformation and a B-spline based local deformation, into a robust point-matching framework. The point correspondence and deformable transformation are estimated simultaneously by fuzzy correspondence and by a
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<a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1088/0031-9155/58/12/4315">doi:10.1088/0031-9155/58/12/4315</a>
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... ic annealing technique. Prior information about global translation, rotation and scaling is incorporated into the optimization. A local B-spline motion model decreases the degrees of freedom for optimization and thus enables the registration of a larger number of feature points. The performance of the BPM method has been demonstrated and validated using synthesized 2D and 3D data, mouse MRI, and micro-CT images. The proposed Bspline point-matching method can be used to register feature point sets, 2D curves, 3D surfaces, and various image data.
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