“颜值”的量化和操控:面孔吸引力数据库的美学思想及算法逻辑  

Quantification and Manipulation of“Beauty”:The Aesthetic and Algorithmic Logic of Facial Attractiveness Database

作　　者：杨鸿燕 陈丽君[1] YANG Hongyan;CHEN Lijun(College of Humanities and Social Sciences,Fuzhou University,Fuzhou 350116,China)

机构地区：[1]福州大学人文社会科学学院,福州350116

出　　处：《心理技术与应用》2024年第9期562-576,共15页Psychology(Techniques and Applications)

基　　金：国家社科基金重大项目“审美主客体相互作用的中介范式及心脑机制研究”子课题(二)(编号:19ZDA043)。

摘　　要：面孔吸引力影响着人们生活的方方面面,是当下的研究热点之一。随着计算机科学的发展,通过计算机模型预测面孔吸引力成为可能,许多面孔吸引力数据库也应运而生。面孔吸引力数据库所提取的特征可归纳为形式美学、进化美学和数据驱动三大类,预测建模方法则可分为符号主义和联结主义。通过面孔特征和建模方法两个角度总结面孔吸引力数据库,根据数据库的发展特点和现状,从时间角度分析数据库的变化及其原因。未来应致力于建立特征全面、标准化的多模态数据库;从学科交叉的视角,探索面孔美的本质。Facial attractiveness,which impacts every aspect of people's lives,has garnered attention from academics and the general public.Corresponding to the development of artificial intelligence technology,it’s possible to construct computer models for predicting facial attractiveness.Consequently,numerous facial attractiveness databases have been created.The facial features extracted by these databases can be summarized into three categories:formal aesthetics,evolutionary aesthetics and data-driven features;the algorithm of the prediction models can be classified into symbolism and connectionism.According to the face features and modeling method,the aesthetic and algorithmic logic of facial attractiveness database have been reviewed and summarized,moreover,the driving forces behind the development of these databases has been identified.Future research should focus on establishing standardized dynamic databases.Furthermore,it is also important to explore the essence of facial beauty from an interdisciplinary perspective.

关 键 词：面孔吸引力 数据库 人工智能 美学 

分 类 号：B842[哲学宗教—基础心理学]