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Female Facial Attractiveness Assessed from Three-Dimensional Contour Lines by University Students

机译:从大学生的三维轮廓线评估女性面部吸引力

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摘要

Background: Three-dimensional (3D) images could provide more accurate evaluation for facial attractiveness than two-dimensional (2D) images. The 3D facial image could be simplified into gray scale 3D contour lines. Whether female facial attractiveness could be perceived in these simplified 3D facial contour lines should be determined. Methods: A series of 100 2D photographs (one frontal and two lateral views) and 3D contour lines extracted from 3D facial images of females were projected onto a screen. Each image presentation lasted 5 s, and the evaluators marked their impression of each image’s facial attractiveness on a five-point Likert scale within 3 s of its presentation. The evaluation of the 3D contour lines was performed twice, 2 weeks apart. The evaluators were university students. Results: High consistency (r = 0.92) was found for the first and second evaluation of 3D facial contour lines for female facial attractiveness. The judgments of unattractive face were more consistent than the judgments of attractive face. Male students tended to give lower scores than female students in the evaluation of female facial attractiveness. Conclusions: Female facial attractiveness could be evaluated by 3D facial contour lines. 3D facial contour lines should be one of the key factors of facial attractiveness.
机译:背景技术:三维(3D)图像可以比二维(2D)图像提供更准确的面部吸引力评估。可以将3D面部图像简化为灰度3D轮廓线。应该确定在这些简化的3D面部轮廓线中是否可以感知到女性的面部吸引力。方法:将从女性的3D面部图像中提取的一系列100张2D照片(一个正面和两个侧面)和3D等高线投影到屏幕上。每个图像演示持续5 s,评估人员在演示后3 s之内以五点李克特量表对每个图像的面部吸引力进行了评分。 3D等高线的评估进行了两次,间隔2周。评估者是大学生。结果:对于女性面部吸引力的3D面部轮廓线的第一次和第二次评估,发现高度一致性(r = 0.92)。没有吸引力的面孔的判断比有吸引力的面孔的判断更加一致。在评价女性面部吸引力方面,男生往往比女生低。结论:女性面部吸引力可通过3D面部轮廓线进行评估。 3D面部轮廓线应该是面部吸引力的关键因素之一。

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