Personality trait prediction based on 2.5D face feature model

Jia Xu, Weijian Tian, Yangyu Fan, Yuxuan Lin, Chengcheng Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

Abstract

The assessment of individual personality traits plays a crucial role in important social events such as interpersonal relationships, job search, crime fighters, and disease treatment. In this paper, a multi-view (frontal and profile view, 2.5D) facial feature extraction model is proposed to evaluate the possible correlation between personality traits and face images. Our main contribution and innovation are threefold: Our primary contribution is the development of a 2.5D hybrid personality computational model in order to gain a more comprehensive understanding of one’s personality traits; the second is that we have established two datasets. Datasets of people over 35 years of age are compared with those of 16–35-year-olds. We focus on the relationship between personality traits in human face and age; Finally, on a dataset of 500 facial images pre-processed from our face database and an personality score dataset collected from human testers, we evaluate the model through the application of support vector regression (SVR). Result shows that the prediction performance of the 2.5D feature model is better than that of the 2D model. We show that the 2.5D model performs well with low statistic error (MSE = 0.4991) and good predictability (R2 = 0.5638).

Original languageEnglish
Title of host publicationCloud Computing and Security - 4th International Conference, ICCCS 2018, Revised Selected Papers
EditorsElisa Bertino, Xingming Sun, Zhaoqing Pan
PublisherSpringer Verlag
Pages611-623
Number of pages13
ISBN (Print)9783030000202
DOIs
StatePublished - 2018
Event4th International Conference on Cloud Computing and Security, ICCCS 2018 - Haikou, China
Duration: 8 Jun 201810 Jun 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11068 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference4th International Conference on Cloud Computing and Security, ICCCS 2018
Country/TerritoryChina
CityHaikou
Period8/06/1810/06/18

Keywords

  • 2.5D
  • Face recognition
  • Geometric features
  • Personality prediction

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