کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
401046 | 1439071 | 2006 | 16 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Assessing facial beauty through proportion analysis by image processing and supervised learning Assessing facial beauty through proportion analysis by image processing and supervised learning](/preview/png/401046.png)
Perception of universal facial beauty has long been debated amongst psychologists and anthropologists. In this paper, we perform experiments to evaluate the extent of universal beauty by surveying a number of diverse human referees to grade a collection of female facial images. Results obtained show that there exists a strong central tendency in the human grades, thus exhibiting agreement on beauty assessment. We then trained an automated classifier using the average human grades as the ground truth and used it to classify an independent test set of facial images. The high accuracy achieved proves that this classifier can be used as a general, automated tool for objective classification of female facial beauty. Potential applications exist in the entertainment industry, cosmetic industry, virtual media, and plastic surgery.
Journal: International Journal of Human-Computer Studies - Volume 64, Issue 12, December 2006, Pages 1184–1199