TY - CHAP T1 - Linear and nonlinear shape alignment without correspondences T2 - Proceedings of International Joint Conference on Computer Vision, Imaging and Computer Graphics - Theory and Applications (Revised Selected Papers) Y1 - 2013 A1 - Zoltan Kato ED - Paul Richard ED - Gabriela Csurka AB -

We consider the estimation of diffeomorphic deformations aligning a known binary shape and its distorted observation. The classical solution consists in extracting landmarks, establishing correspondences and then the aligning transformation is obtained via a complex optimization procedure. Herein we present an alternative solution which works without landmark correspondences, is independent of the magnitude of transformation, easy to implement, and has a linear time complexity. The proposed universal framework is capable of recovering linear as well as nonlinear deformations.

 

JF - Proceedings of International Joint Conference on Computer Vision, Imaging and Computer Graphics - Theory and Applications (Revised Selected Papers) T3 - Communications in Computer and Information Science PB - Springer Verlag CY - Berlin; Heidelberg; New York; London; Paris; Tokyo UR - http://www.inf.u-szeged.hu/~kato/papers/visapp2012.pdf ER -