| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Ersbøll, Bjarne Kjær
Technical University of Denmark
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (4/4 displayed)
- 2013Quantitative Analysis of Micro-Structure in Meat Emulsions from Grating-Based Multimodal X-Ray Tomography
- 2004Structure in Biocrystallograms: A Computer Vision Pilot Study
- 2002Building and Testing a Statistical Shape Model of the Human Ear Canal
- 2002Testing for Gender Related Size and Shape Differences of the Human Ear canal using Statistical methods
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document
Testing for Gender Related Size and Shape Differences of the Human Ear canal using Statistical methods
Abstract
This work deals with the analysis of the shape of the humanear canal. It is described how a dense surface point distributionmodel of the human ear canal is built based on a training set oflaser scanned ear impressions and a sparse set of anatomicallandmarks placed by an expert. The dense surface models are built byusing the anatomical landmarks to warp a template mesh onto allshapes in the training set.Testing the gender related differencesis done by initially reducing the dimensionality using principalcomponent analysis of the vertices of the warped meshes. The numberof components to retain is chosen using Horn's parallel analysis.Finally a multivariate analysis of variance is performed on thesecomponents.