Impression Transformation of 3D Face Based on Morphable 3D Model of Face and Semantic Differential Method

Yoshinori Inaba, Ryosuke Kobayashi, Hanae Ishi, Shigeru Akamatsu, Jiro Gyoba

    Research output: Contribution to journalArticlepeer-review

    Abstract

    This paper describes a method for achieving novel appearances of a given face that can create intended impressions on observers. A morphable 3D model of the human face is developed to describe the variations in appearance while also using a small number of parameters. To find the physical parameters of the 3D objects that might strongly contribute to their visual impressions, the impression ratings obtained for learning samples are computationally investigated. Based on the quantification of higher-order impressions by the Semantic Differential (SD) method, the visual impression of the face can be transformed by manipulating the parameters defined in the morphable 3D model. The ability of the proposed method to transform impressions is confirmed by the paired comparison method.

    Original languageEnglish
    Pages (from-to)96-104
    Number of pages9
    JournalJournal of the Institute of Image Electronics Engineers of Japan
    Volume40
    Issue number1
    DOIs
    Publication statusPublished - 2011 Jan

    Keywords

    • KANSEI information processing
    • PCA
    • face perception
    • impression evaluation
    • impression transfer vector
    • morphable 3D model
    • visual impression

    ASJC Scopus subject areas

    • Computer Science (miscellaneous)
    • Electrical and Electronic Engineering

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