Geometric analysis of shape variability of lower jaws of prehistoric humans Analyse géométrique de la variabilité de la forme des mâchoires inférieures des humains préhistoriques
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2021-12-13
Type
ArticleKAUST Department
Computer Science ProgramComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Visual Computing Center (VCC)
KAUST Grant Number
CRG-2017-3426Date
2020-12Embargo End Date
2021-12-13Permanent link to this record
http://hdl.handle.net/10754/666361
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In this document we describe our method and the results obtained for comparing jaws of prehistoric humans. Our main goal was twofold: (1) establish a methodology for comparing the structure of 3D shapes of scans of jaws using geometric data analysis techniques, and (2) use this methodology for comparing and clustering individual objects according to their geometric similarity. Moreover, we also applied geometric modeling techniques to establish a “clean” version of the dataset, without significant artefacts present in the original data, such as large missing parts. We then applied our analysis techniques both on the original and the clean dataset in order to validate our comparison results. For our core task of shape comparison, we used recent state-of-the-art shape matching methods and we present similarity results using different comparison metrics.Citation
Ren, J., Wonka, P., Harihara, G., & Ovsjanikov, M. (2020). Geometric analysis of shape variability of lower jaws of prehistoric humans. L’Anthropologie, 102808. doi:10.1016/j.anthro.2020.102808Sponsors
Parts of this work were supported by the KAUST OSR Award No. CRG-2017-3426, the ERC Starting Grant No. 758800 (EXPROTEA) and the ANR AI Chair AIGRETTE.Publisher
Elsevier BVJournal
Anthropologie (France)Additional Links
https://linkinghub.elsevier.com/retrieve/pii/S0003552120301035ae974a485f413a2113503eed53cd6c53
10.1016/j.anthro.2020.102808