@conference {Zouhar2015,
	title = {Semantic 3-D labeling of ear implants using a global parametric transition prior},
	booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {9350},
	year = {2015},
	pages = {177{\textendash}184},
	abstract = {In this work we consider the problem of sematic part-labeling of 3-D meshesof ear implants. This is a challenging problem and automatic solutions are of high practical relevance, since they help to automate the design of hearing aids. The contribution of this work is a new framework which outperforms existing approaches for this task. To achieve the boost in performance we introduce the new concept of a global parametric transition prior. To our knowledge, this is the first time that such a generic prior is used for 3-D mesh processing, and it may be found useful for a large class of 3-D meshes. To foster more research on the important topic of ear implant labeling, we collected a large data set of 3-D meshes, with associated ground truth labels, which we will make publicly available.},
	isbn = {9783319245706},
	issn = {16113349},
	doi = {10.1007/978-3-319-24571-3_22},
	author = {Zouhar, Alexander and Carsten Rother and Fuchs, Siegfried}
}
