The Experts below are selected from a list of 201 Experts worldwide ranked by ideXlab platform

Klaus R. R. Scherer - One of the best experts on this subject based on the ideXlab platform.

  • facsgen 2 0 Animation Software generating 3d facs valid facial expressions for emotion research
    Emotion 12 (2) pp. 351-363. (2012), 2012
    Co-Authors: Eva Krumhuber, Lucas Tamarit, Etienne B. Roesch, Klaus R. R. Scherer
    Abstract:

    In this article, we present FACSGen 2.0, new Animation Software for creating static and dynamic three-dimensional facial expressions on the basis of the Facial Action Coding System (FACS). FACSGen permits total control over the action units (AUs), which can be animated at all levels of intensity and applied alone or in combination to an infinite number of faces. In two studies, we tested the validity of the Software for the AU appearance defined in the FACS manual and the conveyed emotionality of FACSGen expressions. In Experiment 1, four FACS-certified coders evaluated the complete set of 35 single AUs and 54 AU combinations for AU presence or absence, appearance quality, intensity, and asymmetry. In Experiment 2, lay participants performed a recognition task on emotional expressions created with FACSGen Software and rated the similarity of expressions displayed by human and FACSGen faces. Results showed good to excellent classification levels for all AUs by the four FACS coders, suggesting that the AUs are valid exemplars of FACS specifications. Lay participants' recognition rates for nine emotions were high, and comparisons of human and FACSGen expressions were very similar. The findings demonstrate the effectiveness of the Software in producing reliable and emotionally valid expressions, and suggest its application in numerous scientific areas, including perception, emotion, and clinical and neuroscience research.

  • facsgen 2 0 Animation Software generating three dimensional facs valid facial expressions for emotion research
    Emotion, 2012
    Co-Authors: Eva Krumhuber, Lucas Tamarit, Etienne B. Roesch, Klaus R. R. Scherer
    Abstract:

    In this article, we present FACSGen 2.0, new Animation Software for creating static and dynamic threedimensional facial expressions on the basis of the Facial Action Coding System (FACS). FACSGen permits total control over the action units (AUs), which can be animated at all levels of intensity and applied alone or in combination to an infinite number of faces. In two studies, we tested the validity of the Software for the AU appearance defined in the FACS manual and the conveyed emotionality of FACSGen expressions. In Experiment 1, four FACS-certified coders evaluated the complete set of 35 single AUs and 54 AU combinations for AU presence or absence, appearance quality, intensity, and asymmetry. In Experiment 2, lay participants performed a recognition task on emotional expressions created with FACSGen Software and rated the similarity of expressions displayed by human and FACSGen faces. Results showed good to excellent classification levels for all AUs by the four FACS coders, suggesting that the AUs are valid exemplars of FACS specifications. Lay participants’ recognition rates for nine emotions were high, and comparisons of human and FACSGen expressions were very similar. The findings demonstrate the effectiveness of the Software in producing reliable and emotionally valid expressions, and suggest its application in numerous scientific areas, including perception, emotion, and clinical and euroscience research.

Patrick Reignier - One of the best experts on this subject based on the ideXlab platform.

  • Integrating Animation artists into the Animation design of social robots an open-source robot Animation Software
    2016 11th ACM IEEE International Conference on Human-Robot Interaction (HRI), 2016
    Co-Authors: Etienne Balit, Dominique Vaufreydaz, Patrick Reignier
    Abstract:

    Movements are an important part of robot design and we need dedicated tools to design them. As previous research has shown, 3D Animation techniques are of great use to animate a robot. However, most robots don't benefit from an Animation tool and therefore from Animation artists knowledge. We present an open-source robot Animation Software to address this issue and describe some principles for designing a robot Animation Software derived from the specificity of robot as a medium.

Zang Yutong - One of the best experts on this subject based on the ideXlab platform.

  • Stable stylized wireframe rendering
    Computer Animation and Virtual Worlds, 2010
    Co-Authors: Tang Chen, Li Sheng, Wang Guoping, Zang Yutong
    Abstract:

    Stylized wireframe rendering of 3D model is widely used in Animation Software in order to depict the configuration of deformable model in comprehensible ways. However, since some inherent flaws in traditional depth test based rendering technology, shape of lines cannot been preserved as continuous movement or deformation of models. There often exists severe aliasing like flickering artifact when objects rendered in line form animate, especially rendered with thick or dashed line. To cover this artifact, unlike traditional approach, we propose a novel fast line drawing method with high visual fidelity for wireframe depiction which only depends on intrinsic topology of primitives without any preprocessing step or extra adjacent information pre-stored. In contrast to previous widely used solutions, our method is advantageous in highly accurate visibility, clear and stable line appearance without flickering even for thick and dashed lines with uniform width, and steady configuration as model moves or animates, so that it is strongly suitable for Animation system. In addition, our approach can be easily implemented and controlled without any additional preestimate parameters supplied by users. ? 2010 John Wiley & Sons, Ltd.EI3-4411-4212

  • Stable stylized wireframe rendering
    2010
    Co-Authors: Tang Chen, Li Sheng, Wang Guoping, Zang Yutong
    Abstract:

    Stylized wireframe rendering of 3D model is widely used in Animation Software in order to depict the configuration of deformable model in comprehensible ways. However, since some inherent flaws in traditional depth test based rendering technology, shape of lines cannot been preserved as continuous movement or deformation of models. There often exists severe aliasing like flickering artifact when objects rendered in line form animate, especially rendered with thick or dashed line. To cover this artifact, unlike traditional approach, we propose a novel fast line drawing method with high visual fidelity for wireframe depiction which only depends on intrinsic topology of primitives without any preprocessing step or extra adjacent information pre-stored. In contrast to previous widely used solutions, our method is advantageous in highly accurate visibility, clear and stable line appearance without flickering even for thick and dashed lines with uniform width, and steady configuration as model moves or animates, so that it is strongly suitable for Animation system. In addition, our approach can be easily implemented and controlled without any additional preestimate parameters supplied by users. Copyright (C) 2010 John Wiley & Sons, Ltd.http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000280135400027&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701Computer Science, Software EngineeringSCI(E)EICPCI-S(ISTP)

Eva Krumhuber - One of the best experts on this subject based on the ideXlab platform.

  • facsgen 2 0 Animation Software generating 3d facs valid facial expressions for emotion research
    Emotion 12 (2) pp. 351-363. (2012), 2012
    Co-Authors: Eva Krumhuber, Lucas Tamarit, Etienne B. Roesch, Klaus R. R. Scherer
    Abstract:

    In this article, we present FACSGen 2.0, new Animation Software for creating static and dynamic three-dimensional facial expressions on the basis of the Facial Action Coding System (FACS). FACSGen permits total control over the action units (AUs), which can be animated at all levels of intensity and applied alone or in combination to an infinite number of faces. In two studies, we tested the validity of the Software for the AU appearance defined in the FACS manual and the conveyed emotionality of FACSGen expressions. In Experiment 1, four FACS-certified coders evaluated the complete set of 35 single AUs and 54 AU combinations for AU presence or absence, appearance quality, intensity, and asymmetry. In Experiment 2, lay participants performed a recognition task on emotional expressions created with FACSGen Software and rated the similarity of expressions displayed by human and FACSGen faces. Results showed good to excellent classification levels for all AUs by the four FACS coders, suggesting that the AUs are valid exemplars of FACS specifications. Lay participants' recognition rates for nine emotions were high, and comparisons of human and FACSGen expressions were very similar. The findings demonstrate the effectiveness of the Software in producing reliable and emotionally valid expressions, and suggest its application in numerous scientific areas, including perception, emotion, and clinical and neuroscience research.

  • facsgen 2 0 Animation Software generating three dimensional facs valid facial expressions for emotion research
    Emotion, 2012
    Co-Authors: Eva Krumhuber, Lucas Tamarit, Etienne B. Roesch, Klaus R. R. Scherer
    Abstract:

    In this article, we present FACSGen 2.0, new Animation Software for creating static and dynamic threedimensional facial expressions on the basis of the Facial Action Coding System (FACS). FACSGen permits total control over the action units (AUs), which can be animated at all levels of intensity and applied alone or in combination to an infinite number of faces. In two studies, we tested the validity of the Software for the AU appearance defined in the FACS manual and the conveyed emotionality of FACSGen expressions. In Experiment 1, four FACS-certified coders evaluated the complete set of 35 single AUs and 54 AU combinations for AU presence or absence, appearance quality, intensity, and asymmetry. In Experiment 2, lay participants performed a recognition task on emotional expressions created with FACSGen Software and rated the similarity of expressions displayed by human and FACSGen faces. Results showed good to excellent classification levels for all AUs by the four FACS coders, suggesting that the AUs are valid exemplars of FACS specifications. Lay participants’ recognition rates for nine emotions were high, and comparisons of human and FACSGen expressions were very similar. The findings demonstrate the effectiveness of the Software in producing reliable and emotionally valid expressions, and suggest its application in numerous scientific areas, including perception, emotion, and clinical and euroscience research.

Etienne Balit - One of the best experts on this subject based on the ideXlab platform.

  • Integrating Animation artists into the Animation design of social robots an open-source robot Animation Software
    2016 11th ACM IEEE International Conference on Human-Robot Interaction (HRI), 2016
    Co-Authors: Etienne Balit, Dominique Vaufreydaz, Patrick Reignier
    Abstract:

    Movements are an important part of robot design and we need dedicated tools to design them. As previous research has shown, 3D Animation techniques are of great use to animate a robot. However, most robots don't benefit from an Animation tool and therefore from Animation artists knowledge. We present an open-source robot Animation Software to address this issue and describe some principles for designing a robot Animation Software derived from the specificity of robot as a medium.