“Gait Animation Synthesis having Characteristics Exaggeration by Perceptual Similarity Basis”

Shinsuke Nakamura, Shigeo Morishima

    Research output: Contribution to journalArticle

    Abstract

    Characteristics of human motion, such as walking, running or jumping vary from person to person. Differences in human motion enable people to identify oneself or a friend. However, it is challenging to generate animation where individual characters exhibit characteristic motion using computer graphics. In our research, differences between an average motion in some sample motions and a target motion are considered as characteristics target motion includes. We are able to synthesize gait animation having exaggerated characteristics by increasing the differences. The synthesized motion is represented as PCA (Principal Component Analysis) score in PCA space composed of sample motions. In the experiment of looking for a target motion from crowd, we estimate the optimum degree of exaggerated characteristics to minimize the finding time of the target motion.

    Original languageEnglish
    Pages (from-to)615-620
    Number of pages6
    JournalJournal of the Institute of Image Electronics Engineers of Japan
    Volume39
    Issue number5
    DOIs
    Publication statusPublished - 2010

    Fingerprint

    Animation
    Principal component analysis
    Computer graphics
    Experiments

    Keywords

    • animation
    • characteristics
    • gait

    ASJC Scopus subject areas

    • Computer Science (miscellaneous)
    • Electrical and Electronic Engineering

    Cite this

    @article{2027c5106bae4c0c9cf48c53b5a7642d,
    title = "“Gait Animation Synthesis having Characteristics Exaggeration by Perceptual Similarity Basis”",
    abstract = "Characteristics of human motion, such as walking, running or jumping vary from person to person. Differences in human motion enable people to identify oneself or a friend. However, it is challenging to generate animation where individual characters exhibit characteristic motion using computer graphics. In our research, differences between an average motion in some sample motions and a target motion are considered as characteristics target motion includes. We are able to synthesize gait animation having exaggerated characteristics by increasing the differences. The synthesized motion is represented as PCA (Principal Component Analysis) score in PCA space composed of sample motions. In the experiment of looking for a target motion from crowd, we estimate the optimum degree of exaggerated characteristics to minimize the finding time of the target motion.",
    keywords = "animation, characteristics, gait",
    author = "Shinsuke Nakamura and Shigeo Morishima",
    year = "2010",
    doi = "10.11371/iieej.39.615",
    language = "English",
    volume = "39",
    pages = "615--620",
    journal = "Journal of the Institute of Image Electronics Engineers of Japan",
    issn = "0285-9831",
    publisher = "Institute of Image Electronics Engineers of Japan",
    number = "5",

    }

    TY - JOUR

    T1 - “Gait Animation Synthesis having Characteristics Exaggeration by Perceptual Similarity Basis”

    AU - Nakamura, Shinsuke

    AU - Morishima, Shigeo

    PY - 2010

    Y1 - 2010

    N2 - Characteristics of human motion, such as walking, running or jumping vary from person to person. Differences in human motion enable people to identify oneself or a friend. However, it is challenging to generate animation where individual characters exhibit characteristic motion using computer graphics. In our research, differences between an average motion in some sample motions and a target motion are considered as characteristics target motion includes. We are able to synthesize gait animation having exaggerated characteristics by increasing the differences. The synthesized motion is represented as PCA (Principal Component Analysis) score in PCA space composed of sample motions. In the experiment of looking for a target motion from crowd, we estimate the optimum degree of exaggerated characteristics to minimize the finding time of the target motion.

    AB - Characteristics of human motion, such as walking, running or jumping vary from person to person. Differences in human motion enable people to identify oneself or a friend. However, it is challenging to generate animation where individual characters exhibit characteristic motion using computer graphics. In our research, differences between an average motion in some sample motions and a target motion are considered as characteristics target motion includes. We are able to synthesize gait animation having exaggerated characteristics by increasing the differences. The synthesized motion is represented as PCA (Principal Component Analysis) score in PCA space composed of sample motions. In the experiment of looking for a target motion from crowd, we estimate the optimum degree of exaggerated characteristics to minimize the finding time of the target motion.

    KW - animation

    KW - characteristics

    KW - gait

    UR - http://www.scopus.com/inward/record.url?scp=85024731436&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=85024731436&partnerID=8YFLogxK

    U2 - 10.11371/iieej.39.615

    DO - 10.11371/iieej.39.615

    M3 - Article

    AN - SCOPUS:85024731436

    VL - 39

    SP - 615

    EP - 620

    JO - Journal of the Institute of Image Electronics Engineers of Japan

    JF - Journal of the Institute of Image Electronics Engineers of Japan

    SN - 0285-9831

    IS - 5

    ER -