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MICCAI
2010
Springer

Automatic Detection of Anatomical Features on 3D Ear Impressions for Canonical Representation

9 years 10 months ago
Automatic Detection of Anatomical Features on 3D Ear Impressions for Canonical Representation
Abstract. We propose a shape descriptor for 3D ear impressions, derived from a comprehensive set of anatomical features. Motivated by hearing aid (HA) manufacturing, the selection of the anatomical features is carried out according to their uniqueness and importance in HA design. This leads to a canonical ear signature that is highly distinctive and potentially well suited for classification. First, the anatomical features are characterized into generic topological and geometric features, namely concavities, elbows, ridges, peaks, and bumps on the surface of the ear. Fast and robust algorithms are then developed for their detection. This indirect approach ensures the generality of the algorithms with potential applications in biomedicine, biometrics, and reverse engineering.
Sajjad Baloch, Rupen Melkisetoglu, Simon Flör
Added 29 Jan 2011
Updated 29 Jan 2011
Type Journal
Year 2010
Where MICCAI
Authors Sajjad Baloch, Rupen Melkisetoglu, Simon Flöry, Sergei Azernikov, Greg G. Slabaugh, Alexander Zouhar, Tong Fang
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