A Study of Ideal Facial Proportions in Attractive Thai Women
Article Sidebar
Main Article Content
Abstract
The objectives of this study were to study the ideal facial proportions for Thai women’s beauty standards and to find ideal facial proportions that are appropriate for Thai women. The average facial proportions which were calculated from various pictures of Thai female actors, singers, and influencers on social media, gathered from online sources, were used as the appropriate proportions. The 13 images of the face which were simulated by using the appropriate proportions and other facial proportions were grouped into 4 groups according to the degree of proportional adjustment. The respondents were then asked to rate their score for the attractiveness of each facial image. The results showed that the average attractiveness score for an ideal face image was the highest score. To compare the differences, a non-parametric test was used to compare the mean values of the attractiveness rating of each group. The comparison found that the mean values for each group were statistically different.
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
บทความที่ได้รับการตีพิมพ์เป็นลิขสิทธิ์ของคณะวิทยาศาสตร์และเทคโนโลยี มหาวิทยาลัยธรรมศาสตร์ ข้อความที่ปรากฏในแต่ละเรื่องของวารสารเล่มนี้เป็นเพียงความเห็นส่วนตัวของผู้เขียน ไม่มีความเกี่ยวข้องกับคณะวิทยาศาสตร์และเทคโนโลยี หรือคณาจารย์ท่านอื่นในมหาวิทยาลัยธรรมศาสตร์ ผู้เขียนต้องยืนยันว่าความรับผิดชอบต่อทุกข้อความที่นำเสนอไว้ในบทความของตน หากมีข้อผิดพลาดหรือความไม่ถูกต้องใด ๆ
References
Burusapat, C., & Lekdaeng, P. (2019). What is the most beautiful facial proportion in the 21st century? Comparative study among Miss Universe, Miss Universe Thailand, neoclassical canons, and facial golden ratios. Plastic and Reconstructive Surgery Global Open, 7(2).
Dense Facial Landmarks API, Face Plus Plus. (2023). Retrieved from: console.faceplusplus.com/ documents/55107053, May 22, 2023.
Fan, J., Chau, K.P., Wan, X., Zhai, L., & Lau, E. (2012). Prediction of facial attractiveness from facial proportions. Pattern Recognition, 45(6), 2326-2334.
Liang, L., Lin, L., Jin, L., Xie, D., & Li, M. (2018, August). SCUT-FBP5500: A diverse benchmark dataset for multi-paradigm facial beauty prediction. In 2018 24th International conference on pattern recognition (ICPR) (pp. 1598-1603). IEEE.
MetaHuman Creator, Unreal Engine. (2023). Retrieved from: https://www.unrealengine.com/en-US/metahuman-creator, May 22, 2023.
Milutinovic, J., Zelic, K., & Nedeljkovic, N. (2014). Evaluation of facial beauty using anthropometric proportions. The Scientific World Journal, 2014.
Prendergast, P.M. (2012). Facial proportions. In Advanced surgical facial rejuvenation (pp. 15-22). Location: Springer, Berlin, Heidelberg.
Thamonton, J. (2023). The health and surgery business in Thailand continues to grow steadily. It was found that Cambodia was the main foreign customer. Retrieved from: https:// www.bltbangkok.com/news/27588, May 20, 2023. (in Thai)