P. J. Besl and N. D. Mckay, A method for registration of 3-d shapes, IEEE Transactions, vol.14, issue.2, pp.239-256, 1992.

S. Beucher and F. Meyer, The morphological approach to segmentation: the watershed transformation, OPTICAL ENGINEERING-NEW YORKMARCEL DEKKER INCORPORATED, vol.34, pp.433-481, 1992.

A. Myronenko and X. Song, Point set registration: Coherent point drift, IEEE transactions on pattern analysis and machine intelligence, vol.32, pp.2262-2275, 2010.

A. Myronenko, X. Song, and M. A. Carreira-perpinán, Non-rigid point set registration: Coherent point drift, Advances in Neural Information Processing Systems, pp.1009-1016, 2007.

I. Peterlík, H. Courtecuisse, R. Rohling, P. Abolmaesumi, C. Nguan et al., Fast elastic registration of soft tissues under large deformations, Medical Image Analysis, 2017.

F. Pomerleau, F. Colas, R. Siegwart, and S. Magnenat, Comparing ICP variants on real-world data sets, Autonomous Robots, vol.34, issue.3, pp.133-148, 2013.
URL : https://hal.archives-ouvertes.fr/hal-01143458

R. Ralph, Mpeg-7 core experiment ce-shape-1 test set, 2009.

M. Rouhani and A. D. Sappa, Non-rigid shape registration: A single linear least squares framework, European Conference on Computer Vision, pp.264-277, 2012.

S. Rusinkiewicz and M. Levoy, Efficient variants of the ICP algorithm, Proceedings. Third International Conference on, pp.145-152, 2001.

A. Sotiras, C. Davatzikos, P. , and N. , Deformable medical image registration: A survey, IEEE transactions on medical imaging, vol.32, issue.7, pp.1153-1190, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00684715

B. Zitova and J. Flusser, Image registration methods: a survey, Image and vision computing, vol.21, issue.11, pp.977-1000, 2003.