title: Nonrigid point registration for 2D curves and 3D surfaces and its various applications.
abstract: A nonrigid B-spline-based point-matching (BPM) method 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 deterministic 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 BPM method can be used to register feature point sets, 2D curves, 3D surfaces and various image data.
authors.affiliation: Department of Radiology and Imaging Sciences, Emory University, Atlanta, GA 30329, USA.
authors.forename: Hesheng
authors.initials: H
authors.lastname: Wang
authors.forename: Baowei
authors.initials: B
authors.lastname: Fei
mesh_terms: D000818:Animals; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008279:Magnetic Resonance Imaging; D051379:Mice; D010778:Photochemotherapy; D013499:Surface Properties; D051598:Whole Body Imaging; D055114:X-Ray Microtomography