Is principal component analysis an effective tool to predict face attractiveness? A contribution based on real 3D faces of highly selected attractive women, scanned with stereophotogrammetry.
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%0 Journal Article
%1 journals/mbec/GalantucciGLP14
%A Galantucci, Luigi Maria
%A Gioia, Eliana Di
%A Lavecchia, Fulvio
%A Percoco, Gianluca
%D 2014
%J Medical Biol. Eng. Comput.
%K dblp
%N 5
%P 475-489
%T Is principal component analysis an effective tool to predict face attractiveness? A contribution based on real 3D faces of highly selected attractive women, scanned with stereophotogrammetry.
%U http://dblp.uni-trier.de/db/journals/mbec/mbec52.html#GalantucciGLP14
%V 52
@article{journals/mbec/GalantucciGLP14,
added-at = {2020-05-27T00:00:00.000+0200},
author = {Galantucci, Luigi Maria and Gioia, Eliana Di and Lavecchia, Fulvio and Percoco, Gianluca},
biburl = {https://www.bibsonomy.org/bibtex/2baf400cbafe151fc7802200d93a77ea9/dblp},
ee = {https://www.wikidata.org/entity/Q40184325},
interhash = {3ef1a9244e84eb5e674c55474503da33},
intrahash = {baf400cbafe151fc7802200d93a77ea9},
journal = {Medical Biol. Eng. Comput.},
keywords = {dblp},
number = 5,
pages = {475-489},
timestamp = {2020-05-28T11:49:08.000+0200},
title = {Is principal component analysis an effective tool to predict face attractiveness? A contribution based on real 3D faces of highly selected attractive women, scanned with stereophotogrammetry.},
url = {http://dblp.uni-trier.de/db/journals/mbec/mbec52.html#GalantucciGLP14},
volume = 52,
year = 2014
}