From global to local statistical shape priors: novel methods to obtain accurate reconstruction results with a limited amount of training shapes
Auteur :
Last, Carsten
Éditeur :
Springer International Publishing AG
ISBN :
9783319851693
Date de publication :
21 juil. 2018
Dimensions :
23,5 x 15,5 cm
Langue :
Anglais
Pays d'origine :
Suisse
The approach presented uses a local shape prior in each element of the underlying data domain and couples all local shape priors via smoothness constraints.