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The Development of a Facial Animation System Based on Performance and the Use of an RGB-D Camera

机译:基于性能的人脸动画系统的开发和RGB-D相机的使用

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In recent decades, interest in capturing human face movements and identifying expressions for the purpose of generating realistic facial animations has increased in both the scientific community and the entertainment industry. We present a modular framework for testing algorithms used in performance-based facial animation. The framework includes the modules used in pipelines found in the literature as a module for creating datasets of blendshapes, an algorithm processing module for identification of weights and, finally, a redirection module that creates a virtual face based on blendshapes. The framework uses a RGB-D camera, the RealSense F200 camera from Intel. The entire framework is based on blendshapes that are blends of shapes.
机译:在最近的几十年中,在科学界和娱乐业中,人们对捕获人脸运动并识别表情以生成逼真的面部动画的兴趣都在增加。我们提出了一个模块化的框架,用于测试基于性能的面部动画中使用的算法。该框架包括在文献中找到的管道中使用的模块,这些模块用于创建混合形状的数据集,用于处理权重的算法处理模块,最后是一个基于混合形状创建虚拟面的重定向模块。该框架使用RGB-D相机,即Intel的RealSense F200相机。整个框架基于融合形状的融合形状。

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