CASIA OpenIR  > 模式识别国家重点实验室  > 机器人视觉
Physiognomy: Personality Traits Prediction by Learning
Zhang, Ting1,3; Qin, Rizhen1; Dong, Qiulei1,2,3; Gao, Wei1; Xu, Huarong4; Hu, Zhanyi1,2,3
Source PublicationInternational Journal of Automation and Computing
2017
Volume14Issue:4Pages:386-395
Abstract
 
Evaluating individuals' personality traits and intelligence from their faces plays a crucial role in interpersonal relationship and important social events such as elections and court sentences.To assess the possible correlations between personality traits (also measured intelligence) and face images,we first construct a dataset consisting of face photographs,personality measurements,and intelligence measurements.Then,we build an end-to-end convolutional neural network for prediction of personality traits and intelligence to investigate whether self-reported personality traits and intelligence can be predicted reliably from a face image.To our knowledge,it is the first work where deep learning is applied to this problem.Experimental results show the following three points:1)"Rule-consciousness" and "Tension" can be reliably predicted from face images.2) It is difficult,if not impossible,to predict intelligence from face images,a finding in accord with previous studies.3) Convolutional neural network (CNN) features outperform traditional handcrafted features in predicting traits.
KeywordPersonality Traits Physiognomy Face Image Deep Learning Convolutional Neural Network (Cnn)
Indexed ByEI
Language英语
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/19564
Collection模式识别国家重点实验室_机器人视觉
Corresponding AuthorDong, Qiulei
Affiliation1.National Laboratory of Pattern Recognition, Institute of Automation, CAS
2.Center for Excellence in Brain Science and Intelligence Technology, CAS
3.University of Chinese Academy of Sciences
4.Department of Computer Science & Technology, Xiamen Institute of Technology
First Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Corresponding Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Zhang, Ting,Qin, Rizhen,Dong, Qiulei,et al. Physiognomy: Personality Traits Prediction by Learning[J]. International Journal of Automation and Computing,2017,14(4):386-395.
APA Zhang, Ting,Qin, Rizhen,Dong, Qiulei,Gao, Wei,Xu, Huarong,&Hu, Zhanyi.(2017).Physiognomy: Personality Traits Prediction by Learning.International Journal of Automation and Computing,14(4),386-395.
MLA Zhang, Ting,et al."Physiognomy: Personality Traits Prediction by Learning".International Journal of Automation and Computing 14.4(2017):386-395.
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