Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8823580 | Journal of Medical Ultrasound | 2016 | 8 Pages |
Abstract
An algorithm for automatically extracting the facial surface is presented here. The method provides a comprehensive segmentation process and does not require any human intervention or training procedures, leading from the output of the scanner directly to the 3D mesh describing the face. The proposed segmentation technique is based on a two-step statistical process that relies on both volumetric histogram processing and 2D segmentation. The completely unattended nature of such a procedure makes it possible to rapidly populate a large database of 3D point clouds describing healthy and unhealthy faces, enhancing the diagnosis of rare syndromes through statistical analyses.
Keywords
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Authors
Luca Bonacina, Antonio Froio, Daniele Conti, Federica Marcolin, Enrico Vezzetti,