{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,15]],"date-time":"2026-01-15T11:05:12Z","timestamp":1768475112644,"version":"3.49.0"},"reference-count":45,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2017,11,29]],"date-time":"2017-11-29T00:00:00Z","timestamp":1511913600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Symmetry"],"abstract":"<jats:p>In this paper, we present a novel framework for automatically assessing facial attractiveness that considers four ratio feature sets as objective elements of facial attractiveness. In our framework, these feature sets are combined with three regression-based predictors to estimate a facial beauty score. To enhance the system\u2019s performance to make it comparable with human scoring, we apply a score fusion technique. Experimental results show that the attractiveness score obtained by the proposed framework better correlates with human assessments than the scores from other predictors. The framework\u2019s modularity allows any features or predictors to be integrated into the facial attractiveness measure. Our proposed framework can be applied to many beauty-related fields, such as the plastic surgery, cosmetics, and entertainment industries.<\/jats:p>","DOI":"10.3390\/sym9120294","type":"journal-article","created":{"date-parts":[[2017,11,30]],"date-time":"2017-11-30T03:15:15Z","timestamp":1512011715000},"page":"294","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["A Novel Framework for Assessing Facial Attractiveness Based on Facial Proportions"],"prefix":"10.3390","volume":"9","author":[{"given":"Yu-Jin","family":"Hong","sequence":"first","affiliation":[{"name":"Department of HCI Robotics, University of Science and Technology, Daejeon 34113, Korea"},{"name":"Center for Imaging Media Research, Korea Institute of Science and Technology, Seoul 02792, Korea"}]},{"given":"Gi","family":"Nam","sequence":"additional","affiliation":[{"name":"Center for Imaging Media Research, Korea Institute of Science and Technology, Seoul 02792, Korea"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3223-1885","authenticated-orcid":false,"given":"Heeseung","family":"Choi","sequence":"additional","affiliation":[{"name":"Center for Imaging Media Research, Korea Institute of Science and Technology, Seoul 02792, Korea"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1913-8037","authenticated-orcid":false,"given":"Junghyun","family":"Cho","sequence":"additional","affiliation":[{"name":"Center for Imaging Media Research, Korea Institute of Science and Technology, Seoul 02792, Korea"}]},{"given":"Ig-Jae","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of HCI Robotics, University of Science and Technology, Daejeon 34113, Korea"},{"name":"Center for Imaging Media Research, Korea Institute of Science and Technology, Seoul 02792, Korea"}]}],"member":"1968","published-online":{"date-parts":[[2017,11,29]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1146\/annurev.psych.57.102904.190208","article-title":"The evolutionary psychology of facial beauty","volume":"57","author":"Rhodes","year":"2006","journal-title":"Annu. 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