Computation of facial attractiveness from 3D geometry
Abstract The face attractiveness from 3D representation is still in the infancy stage. In this paper, we investigate the role of 3D face geometry in facial beauty perception. Driven by heuristic rules, the aesthetics-aware geometric features are extracted, including features directly extended from 2...
Ausführliche Beschreibung
Autor*in: |
Liu, Shu [verfasserIn] |
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Sprache: |
Englisch |
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2022 |
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Anmerkung: |
© The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 |
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Übergeordnetes Werk: |
Enthalten in: Soft computing - Springer Berlin Heidelberg, 1997, 26(2022), 19 vom: 21. Juli, Seite 10401-10407 |
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Übergeordnetes Werk: |
volume:26 ; year:2022 ; number:19 ; day:21 ; month:07 ; pages:10401-10407 |
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DOI / URN: |
10.1007/s00500-022-07324-0 |
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Katalog-ID: |
OLC2079513648 |
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10.1007/s00500-022-07324-0 doi (DE-627)OLC2079513648 (DE-He213)s00500-022-07324-0-p DE-627 ger DE-627 rakwb eng 004 VZ 004 VZ 11 ssgn Liu, Shu verfasserin aut Computation of facial attractiveness from 3D geometry 2022 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 Abstract The face attractiveness from 3D representation is still in the infancy stage. In this paper, we investigate the role of 3D face geometry in facial beauty perception. Driven by heuristic rules, the aesthetics-aware geometric features are extracted, including features directly extended from 2D task to the 3D space, i.e., the global shape and Euclidean ratios, as well as features exclusively designed for 3D face structure, i.e., the geodesic ratios and region-based curvatures. A benchmark dataset with face models and attractiveness ratings is developed for facial attractiveness computation. Experimental results demonstrate the significance of 3D geometric features in capturing the face geometry over their 2D counterparts, and the advantages of the exclusive features in characterizing facial attractiveness over the extended features. Face attractiveness 3D geometry Face structure 3D face Huang, Enquan aut Xu, Yan aut Wang, Kexuan aut Jain, Deepak Kumar aut Enthalten in Soft computing Springer Berlin Heidelberg, 1997 26(2022), 19 vom: 21. Juli, Seite 10401-10407 (DE-627)231970536 (DE-600)1387526-7 (DE-576)060238259 1432-7643 nnns volume:26 year:2022 number:19 day:21 month:07 pages:10401-10407 https://doi.org/10.1007/s00500-022-07324-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_267 GBV_ILN_2018 GBV_ILN_4277 AR 26 2022 19 21 07 10401-10407 |
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10.1007/s00500-022-07324-0 doi (DE-627)OLC2079513648 (DE-He213)s00500-022-07324-0-p DE-627 ger DE-627 rakwb eng 004 VZ 004 VZ 11 ssgn Liu, Shu verfasserin aut Computation of facial attractiveness from 3D geometry 2022 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 Abstract The face attractiveness from 3D representation is still in the infancy stage. In this paper, we investigate the role of 3D face geometry in facial beauty perception. Driven by heuristic rules, the aesthetics-aware geometric features are extracted, including features directly extended from 2D task to the 3D space, i.e., the global shape and Euclidean ratios, as well as features exclusively designed for 3D face structure, i.e., the geodesic ratios and region-based curvatures. A benchmark dataset with face models and attractiveness ratings is developed for facial attractiveness computation. Experimental results demonstrate the significance of 3D geometric features in capturing the face geometry over their 2D counterparts, and the advantages of the exclusive features in characterizing facial attractiveness over the extended features. Face attractiveness 3D geometry Face structure 3D face Huang, Enquan aut Xu, Yan aut Wang, Kexuan aut Jain, Deepak Kumar aut Enthalten in Soft computing Springer Berlin Heidelberg, 1997 26(2022), 19 vom: 21. Juli, Seite 10401-10407 (DE-627)231970536 (DE-600)1387526-7 (DE-576)060238259 1432-7643 nnns volume:26 year:2022 number:19 day:21 month:07 pages:10401-10407 https://doi.org/10.1007/s00500-022-07324-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_267 GBV_ILN_2018 GBV_ILN_4277 AR 26 2022 19 21 07 10401-10407 |
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10.1007/s00500-022-07324-0 doi (DE-627)OLC2079513648 (DE-He213)s00500-022-07324-0-p DE-627 ger DE-627 rakwb eng 004 VZ 004 VZ 11 ssgn Liu, Shu verfasserin aut Computation of facial attractiveness from 3D geometry 2022 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 Abstract The face attractiveness from 3D representation is still in the infancy stage. In this paper, we investigate the role of 3D face geometry in facial beauty perception. Driven by heuristic rules, the aesthetics-aware geometric features are extracted, including features directly extended from 2D task to the 3D space, i.e., the global shape and Euclidean ratios, as well as features exclusively designed for 3D face structure, i.e., the geodesic ratios and region-based curvatures. A benchmark dataset with face models and attractiveness ratings is developed for facial attractiveness computation. Experimental results demonstrate the significance of 3D geometric features in capturing the face geometry over their 2D counterparts, and the advantages of the exclusive features in characterizing facial attractiveness over the extended features. Face attractiveness 3D geometry Face structure 3D face Huang, Enquan aut Xu, Yan aut Wang, Kexuan aut Jain, Deepak Kumar aut Enthalten in Soft computing Springer Berlin Heidelberg, 1997 26(2022), 19 vom: 21. Juli, Seite 10401-10407 (DE-627)231970536 (DE-600)1387526-7 (DE-576)060238259 1432-7643 nnns volume:26 year:2022 number:19 day:21 month:07 pages:10401-10407 https://doi.org/10.1007/s00500-022-07324-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_267 GBV_ILN_2018 GBV_ILN_4277 AR 26 2022 19 21 07 10401-10407 |
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10.1007/s00500-022-07324-0 doi (DE-627)OLC2079513648 (DE-He213)s00500-022-07324-0-p DE-627 ger DE-627 rakwb eng 004 VZ 004 VZ 11 ssgn Liu, Shu verfasserin aut Computation of facial attractiveness from 3D geometry 2022 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 Abstract The face attractiveness from 3D representation is still in the infancy stage. In this paper, we investigate the role of 3D face geometry in facial beauty perception. Driven by heuristic rules, the aesthetics-aware geometric features are extracted, including features directly extended from 2D task to the 3D space, i.e., the global shape and Euclidean ratios, as well as features exclusively designed for 3D face structure, i.e., the geodesic ratios and region-based curvatures. A benchmark dataset with face models and attractiveness ratings is developed for facial attractiveness computation. Experimental results demonstrate the significance of 3D geometric features in capturing the face geometry over their 2D counterparts, and the advantages of the exclusive features in characterizing facial attractiveness over the extended features. Face attractiveness 3D geometry Face structure 3D face Huang, Enquan aut Xu, Yan aut Wang, Kexuan aut Jain, Deepak Kumar aut Enthalten in Soft computing Springer Berlin Heidelberg, 1997 26(2022), 19 vom: 21. Juli, Seite 10401-10407 (DE-627)231970536 (DE-600)1387526-7 (DE-576)060238259 1432-7643 nnns volume:26 year:2022 number:19 day:21 month:07 pages:10401-10407 https://doi.org/10.1007/s00500-022-07324-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_267 GBV_ILN_2018 GBV_ILN_4277 AR 26 2022 19 21 07 10401-10407 |
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Abstract The face attractiveness from 3D representation is still in the infancy stage. In this paper, we investigate the role of 3D face geometry in facial beauty perception. Driven by heuristic rules, the aesthetics-aware geometric features are extracted, including features directly extended from 2D task to the 3D space, i.e., the global shape and Euclidean ratios, as well as features exclusively designed for 3D face structure, i.e., the geodesic ratios and region-based curvatures. A benchmark dataset with face models and attractiveness ratings is developed for facial attractiveness computation. Experimental results demonstrate the significance of 3D geometric features in capturing the face geometry over their 2D counterparts, and the advantages of the exclusive features in characterizing facial attractiveness over the extended features. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 |
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Abstract The face attractiveness from 3D representation is still in the infancy stage. In this paper, we investigate the role of 3D face geometry in facial beauty perception. Driven by heuristic rules, the aesthetics-aware geometric features are extracted, including features directly extended from 2D task to the 3D space, i.e., the global shape and Euclidean ratios, as well as features exclusively designed for 3D face structure, i.e., the geodesic ratios and region-based curvatures. A benchmark dataset with face models and attractiveness ratings is developed for facial attractiveness computation. Experimental results demonstrate the significance of 3D geometric features in capturing the face geometry over their 2D counterparts, and the advantages of the exclusive features in characterizing facial attractiveness over the extended features. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 |
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Abstract The face attractiveness from 3D representation is still in the infancy stage. In this paper, we investigate the role of 3D face geometry in facial beauty perception. Driven by heuristic rules, the aesthetics-aware geometric features are extracted, including features directly extended from 2D task to the 3D space, i.e., the global shape and Euclidean ratios, as well as features exclusively designed for 3D face structure, i.e., the geodesic ratios and region-based curvatures. A benchmark dataset with face models and attractiveness ratings is developed for facial attractiveness computation. Experimental results demonstrate the significance of 3D geometric features in capturing the face geometry over their 2D counterparts, and the advantages of the exclusive features in characterizing facial attractiveness over the extended features. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">OLC2079513648</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230506063850.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">221220s2022 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s00500-022-07324-0</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC2079513648</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-He213)s00500-022-07324-0-p</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">004</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">004</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">11</subfield><subfield code="2">ssgn</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Liu, Shu</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Computation of facial attractiveness from 3D geometry</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2022</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract The face attractiveness from 3D representation is still in the infancy stage. In this paper, we investigate the role of 3D face geometry in facial beauty perception. Driven by heuristic rules, the aesthetics-aware geometric features are extracted, including features directly extended from 2D task to the 3D space, i.e., the global shape and Euclidean ratios, as well as features exclusively designed for 3D face structure, i.e., the geodesic ratios and region-based curvatures. A benchmark dataset with face models and attractiveness ratings is developed for facial attractiveness computation. Experimental results demonstrate the significance of 3D geometric features in capturing the face geometry over their 2D counterparts, and the advantages of the exclusive features in characterizing facial attractiveness over the extended features.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Face attractiveness</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">3D geometry</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Face structure</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">3D face</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Huang, Enquan</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Xu, Yan</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wang, Kexuan</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Jain, Deepak Kumar</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Soft computing</subfield><subfield code="d">Springer Berlin Heidelberg, 1997</subfield><subfield code="g">26(2022), 19 vom: 21. 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