The assessment of personality traits is now a key part of many important social activities, such as job hunting, accident prevention in transportation, disease treatment, policing, and interpersonal interactions. In a previous study, we predicted personality based on positive images of college students. Although this method achieved a high accuracy, the reliance on positive images alone results in the loss of much personality-related information. Our new findings show that using real-life 2.5D static facial contour images, it is possible to make statistically significant predictions about a wider range of personality traits for both men and women. We address the objective of comprehensive understanding of a person’s personality traits by developing a multiperspective 2.5D hybrid personality-computing model to evaluate the potential correlation between static facial contour images and personality characteristics. Our experimental results show that the deep neural network trained by large labeled datasets can reliably predict people’s multidimensional personality characteristics through 2.5D static facial contour images, and the prediction accuracy is better than the previous method using 2D images.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    2.5D Facial Personality Prediction Based on Deep Learning


    Beteiligte:
    Jia Xu (Autor:in) / Weijian Tian (Autor:in) / Guoyun Lv (Autor:in) / Shiya Liu (Autor:in) / Yangyu Fan (Autor:in)


    Erscheinungsdatum :

    2021




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt




    Facial Recognition based on Deep Learning

    Aanchal / Nijhawan, Rahul / Goel, Silky | IEEE | 2021


    Volvo S80 2.5D

    Online Contents | 1999


    2.5D Elastic graph matching

    Zafeiriou, S. / Petrou, M. | British Library Online Contents | 2011


    2.5D vehicle odometry estimation

    Eising, Ciarán / Pereira, Leroy‐Francisco / Horgan, Jonathan et al. | Wiley | 2022

    Freier Zugriff

    2.5D vehicle odometry estimation

    Ciarán Eising / Leroy‐Francisco Pereira / Jonathan Horgan et al. | DOAJ | 2022

    Freier Zugriff