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Performance-driven animation of hand-drawn cartoon faces

机译:手绘卡通脸的性能驱动动画

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摘要

We present a novel performance-driven approach to animating cartoon faces starting from pure 2D drawings. A 3D approximatenfacial model automatically built from front and side view master frames of character drawings is introduced tonenable the animated cartoon faces to be viewed from angles different from that in the input video. The expressive mappingsnare built by artificial neural network (ANN) trained from the examples of the real face in the video and the cartoon facialndrawings in the facial expression graph for a specific character. The learned mapping model makes the resultant facialnanimation to properly get the desired expressiveness, instead of a mere reproduction of the facial actions in the input videonsequence. Furthermore, the lit sphere, capturing the lighting in the painting artwork of faces, is utilized to color the cartoonnfaces in terms of the 3D approximate facial model, reinforcing the hand-drawn appearance of the resulting facial animation.nWe made a series of comparative experiments to test the effectiveness of our method by recreating the facial expression innthe commercial animation. The comparison results clearly demonstrate the superiority of our method not only in generatingnhigh quality cartoon-style facial expressions, but also in speeding up the animation production of cartoon faces. Copyrightn. 2011 John Wiley & Sons, Ltd.
机译:从纯2D绘图开始,我们提出了一种新颖的基于性能的方法来对卡通脸进行动画处理。引入了从角色图的前视图和侧视图主框架自动构建的3D近似面模型,从而可以从不同于输入视频的角度观看动画卡通脸。通过人工神经网络(ANN)构建的表达映射,可以从视频中的真实面孔和面部表情图中的卡通面部绘图示例中训练出特定角色。习得的映射模型使合成的面部表情能够正确获得所需的表现力,而不仅仅是在输入视频序列中再现面部动作。此外,照亮的球体捕捉了人脸绘画作品中的照明,然后利用3D近似人脸模型对卡通人脸进行着色,从而增强了所得人脸动画的手绘外观。n我们进行了一系列对比实验通过在商业动画中重新创建面部表情来测试我们方法的有效性。比较结果清楚地证明了我们的方法不仅在生成高质量的卡通风格的面部表情方面,而且在加快卡通面孔的动画制作方面具有优势。版权所有。 2011年John Wiley&Sons,Ltd.

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