Computation of facial attractiveness from 3D geometry

Computation of facial attractiveness from 3D geometry
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从 3D 几何计算面部吸引力

DOI:
10.1007/s00500-022-07324-0
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发表时间:
2022-07
期刊:
影响因子:
4.1
通讯作者:
Deepak Kumar Jain
Deepak Kumar Jain
中科院分区:
计算机科学3区
文献类型:
--
作者:
Shu Liu;Enquan Huang;Yan Xu;Kexuan Wang;Deepak Kumar Jain

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基于三维表征的面部吸引力研究仍处于起步阶段。在本文中,我们探讨了三维面部几何结构在面部美感认知中的作用。在启发式规则的驱动下,我们提取了具有美感意识的几何特征,包括从二维任务直接扩展到三维空间的特征,即全局形状和欧几里得比率,以及专为三维面部结构设计的特征,即测地比率和基于区域的曲率。我们开发了一个包含面部模型和吸引力评分的基准数据集,用于面部吸引力计算。实验结果表明,与二维特征相比,三维几何特征在捕捉面部几何结构方面具有重要意义,并且专属特征在表征面部吸引力方面比扩展特征更具优势。
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.
DOI: 10.1016/s0262-8856(99)00012-8
发表时间: 1999-12-08
影响因子: 4.7
作者:
O'Toole, AJ;Price, T;Blanz, V
通讯作者: Blanz, V
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