ct 15(3): e4

Research Article

Evaluation of a Facial Animation Authoring Pipeline Seamlessly Supporting Performance Capture and Manual Key-pose Editing

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  • @ARTICLE{10.4108/ct.2.3.e4,
        author={Fabrizio Nunnari and Alexis Heloir},
        title={Evaluation of a Facial Animation Authoring Pipeline Seamlessly Supporting Performance Capture and Manual Key-pose Editing},
        journal={EAI Endorsed Transactions on Creative Technologies},
        volume={2},
        number={3},
        publisher={ICST},
        journal_a={CT},
        year={2015},
        month={6},
        keywords={facial animation, performance capture, retargeting, evaluation, animation authoring},
        doi={10.4108/ct.2.3.e4}
    }
    
  • Fabrizio Nunnari
    Alexis Heloir
    Year: 2015
    Evaluation of a Facial Animation Authoring Pipeline Seamlessly Supporting Performance Capture and Manual Key-pose Editing
    CT
    ICST
    DOI: 10.4108/ct.2.3.e4
Fabrizio Nunnari1,*, Alexis Heloir1,2
  • 1: Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI), CAMPUS D3.2, 66123, Saarbrücken, Germany
  • 2: LAMIH-UMR CNRS 8201, Le Mont Houy, Univ. Valenciennes, France
*Contact email: fabrizio.nunnari@dfki.de

Abstract

In this paper, we present an architecture following a novel animation authoring pipeline seamlessly supporting performance capture and manual editing of key-frames animation. This pipeline allows novice users to record and author sophisticated facial animations in a fraction of the time that would be required using traditional animation tools. This approach paves the way towards novel animation pipelines which seamlessly merge the roles of the animator and the actor. The second contribution is a method assessing a facial retargeting system, we conducted a user study where participants assessed the emotions conveyed by the facial expression displayed in the control and the authored animation. Contrary to existing evaluation methods, it factors out possible misinterpretations of the intended emotion and focuses on assessing the retargeting quality.