@inproceedings {1455, title = {Correspondence Preserving Elastic Surface Registration with Shape Model Prior}, booktitle = {International Conference of Pattern Recognition}, volume = {22}, year = {2014}, pages = {2143-2148}, abstract = {In this paper, we describe a framework for surface registration. The framework consists of a combination of rigid registration, elasticity modulated registration and the use of a shape model prior. The main goal in this paper is to mini- mize the geometric surface registration error while maintain- ing correspondences. Experiments show improved geometric fit, correspondence, and timing compared to the current state of the art. Possible applications of the framework are construction of correspondences for shape models, reconstruction of missing parts, and artifact reduction.}, doi = {10.1109/ICPR.2014.373}, author = {Femke Danckaers and Toon Huysmans and Daniel Lacko and A. Ledda and Stijn Verwulgen and Van Dongen, Stefan and Jan Sijbers} }