Morphological Analysis of 3D Faces for Weight Gain Assessment

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dc.contributor.authorGiorgi, Danielaen_US
dc.contributor.authorPascali, Maria Antoniettaen_US
dc.contributor.authorRaccichini, Giovannien_US
dc.contributor.authorColantonio, Saraen_US
dc.contributor.authorSalvetti, Ovidioen_US
dc.contributor.editorI. Pratikakis and M. Spagnuolo and T. Theoharis and L. Van Gool and R. Veltkampen_US
dc.date.accessioned2015-04-27T11:03:36Z
dc.date.available2015-04-27T11:03:36Z
dc.date.issued2015en_US
dc.description.abstractIn this paper we analyse patterns in face shape variation due to weight gain. We propose the use of persistent homology descriptors to get geometric and topological information about the configuration of anthropometric 3D face landmarks. In this way, evaluating face changes boils down to comparing the descriptors computed on 3D face scans taken at different times. By applying dimensionality reduction techniques to the dissimilarity matrix of descriptors, we get a shape space in which each face is a point and face shape variations are encoded as trajectories in that space. Our first results show that persistent homology is able to identify features which are well-related to overweight, and may help assessing individual weight trends. The research is carried out in the context of the European project SEMEOTICONS, which is developing a multisensory platform which detects and monitors over time facial signs of cardio-metabolic risk.en_US
dc.description.sectionheaders3D Facial Analysis and Retrievalen_US
dc.description.seriesinformationEurographics Workshop on 3D Object Retrievalen_US
dc.identifier.doi10.2312/3dor.20151055en_US
dc.identifier.pages55-62en_US
dc.identifier.urihttps://doi.org/10.2312/3dor.20151055en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectI.4.7 [IMAGE PROCESSING AND COMPUTER VISION]en_US
dc.subjectFeature Measurementen_US
dc.subjectFeature representationen_US
dc.subjectSize and shapeen_US
dc.titleMorphological Analysis of 3D Faces for Weight Gain Assessmenten_US
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