2013 | OriginalPaper | Chapter
A Unifying Framework for Correspondence-Less Shape Alignment and Its Medical Applications
Author : Zoltan Kato
Published in: Intelligent Interactive Technologies and Multimedia
Publisher: Springer Berlin Heidelberg
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We give an overview of our general framework for registering 2D and 3D objects without correspondences. Classical solutions consist in extracting landmarks, establishing correspondences and then the aligning transformation is obtained via a complex optimization procedure. In contrast, our framework works without landmark correspondences, is independent of the magnitude of transformation, easy to implement, and has a linear time complexity. The efficiency and robustness of the method has been demonstarted using various deformations models. Herein, we will focus on medical applications.