@inbook {1290, title = {Linear and nonlinear shape alignment without correspondences}, booktitle = {Proceedings of International Joint Conference on Computer Vision, Imaging and Computer Graphics - Theory and Applications (Revised Selected Papers)}, series = {Communications in Computer and Information Science}, number = {359}, year = {2013}, month = {Feb 2013}, pages = {3 - 17}, publisher = {Springer Verlag}, organization = {Springer Verlag}, type = {Conference paper}, address = {Berlin; Heidelberg; New York; London; Paris; Tokyo}, abstract = {

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.

}, doi = {10.1007/978-3-642-38241-3_1}, url = {http://www.inf.u-szeged.hu/~kato/papers/visapp2012.pdf}, author = {Zoltan Kato}, editor = {Paul Richard and Gabriela Csurka} }