%0 Book Section %B Proceedings of International Joint Conference on Computer Vision, Imaging and Computer Graphics - Theory and Applications (Revised Selected Papers) %D 2013 %T Linear and nonlinear shape alignment without correspondences %A Zoltan Kato %E Paul Richard %E Gabriela Csurka %X

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.

 

%B Proceedings of International Joint Conference on Computer Vision, Imaging and Computer Graphics - Theory and Applications (Revised Selected Papers) %S Communications in Computer and Information Science %I Springer Verlag %C Berlin; Heidelberg; New York; London; Paris; Tokyo %P 3 - 17 %8 Feb 2013 %G eng %U http://www.inf.u-szeged.hu/~kato/papers/visapp2012.pdf %9 Conference paper %R 10.1007/978-3-642-38241-3_1