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Erschienen in:
2015 | OriginalPaper | Buchkapitel
Semantic 3-D Labeling of Ear Implants Using a Global Parametric Transition Prior
verfasst von : Alexander Zouhar, Carsten Rother, Siegfried Fuchs
Erschienen in: Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015
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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.