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3D emotional rendering and animation models

Abstract : Animation and rendering are both important research domains in computer graphics. We present a fast easy-to-implement separable approximation to screen space ambient occlusion.We evaluate AO for each pixel by integrating angular values of samplers around the pixel position which potentially block the ambient lighting.We apply a separable fashion to reduce the complexity of the evaluation. Wrinkle simulation can also be approximated without changing geometry information.We built a wrinkles model by using a modern graphics technique which performs computations only in screen space.With the help of wrinkles, the facial animation can be more realistic. Several factors have been proved, and wrinkles can help to recognize action units with a higher rate. Inverse kinematics (IK) can be used to find the hierarchical posture solutions. We present a fast and easy-to-implement locally physics-based IK method. Our method builds upon a mass-spring model and relies on force interactions between masses. Our method offers convincing visual quality results obtained with high time performance. Base on our IK method, we propose our expressive body-gestures animation synthesis model for our Embodied Conversational Agent (ECA) technology. Our implementation builds upon a full body reach model using a hybrid kinematics solution. Generated animations can be enhanced with expressive qualities.This system offers more flexibility to configure expressive Forward and Inverse Kinematics (FK and IK). It can be extended to other articulated figures. Overall, this thesis presents our work in 3D rendering and animation. Several new approaches have been proposed to improve both the quality and the speed.
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Submitted on : Tuesday, June 21, 2016 - 7:48:53 AM
Last modification on : Friday, July 31, 2020 - 10:44:08 AM
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  • HAL Id : tel-01334570, version 1



Jing Huang. 3D emotional rendering and animation models. Signal and Image Processing. Télécom ParisTech, 2013. English. ⟨NNT : 2013ENST0008⟩. ⟨tel-01334570⟩



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