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首页> 外文会议>International Conference on Computer Vision Systems >Automatic Face Modeling and Synthesis Based on Image Pairs
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Automatic Face Modeling and Synthesis Based on Image Pairs

机译：基于图像对的自动面部建模与合成

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摘要

Unlike traditional 3D model based or image based animation methods, in this paper a novel approach is presented to generate both facial actions and head rotations for photo-realistic facial animation based on one frontal and one half-profile facial image taken with an uncalibrated camera. We represent faces with 2D wire-frame models and use MPEG4 FAPs to encode basic facial actions. Hierarchical Direct Appearance Model is employed for facial feature localization. 3D deformable model is applied for pose estimation. By affine projection 3D deformable model and facial actions are mapped to 2D facial models and actions at various head poses. Coarse 2D models are refined with extracted facial features by RBF interpolation. Pose-variable facial animation is generated by synthesizing facial actions on 2D models and morphing facial textures between frontal and half-profile views. Experimental results demonstrate the effectiveness of our approach.
机译：与基于传统的3D模型或基于图像的动画方法不同，本文提出了一种新的方法，以产生基于用未校准相机拍摄的一个正面和一个半轮廓面部图像的照片 - 现实面部动画的面部动作和头部旋转。我们代表了2D线框模型的面部，并使用MPEG4 FAP来编码基本的面部动作。分层直接外观模型用于面部特征定位。 3D可变形模型用于姿势估计。通过仿射投影3D可变形模型和面部动作被映射到各种头部姿势的2D面部模型和动作。通过RBF插值，通过提取的面部特征精制粗略2D型号。通过在2D模型上综合面部动作和正面和半平面视图之间的变形面纹理来生成姿势变量面部动画。实验结果表明了我们方法的有效性。

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