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Photorealistic 3D face modeling on a smartphone

机译:智能手机上的真实感3D人脸建模

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摘要

In this paper, we propose an efficient method for creating a photorealistic 3D face model on a smartphone. Major features of human face such as eyes, nose, lip, cheek, chin, and profile boundary are extracted automatically from the front and profile images, in which ACM (active contour model) and deformable ICP (iterative closest point) methods are employed. A 3D face model is generated by deforming a generic model so that the 3D face model is correctly corresponded to the extracted facial features. Skin texture map is created from the input image, which is mapped on the deformed 3D face model. All procedures are implemented and optimized efficiently on a smartphone with limited processing power and memory capability. Experimental results show that photorealistic 3D face models are created successfully on a variety of test samples. It takes about 6 seconds on an off-the-shelf smartphone.
机译:在本文中,我们提出了一种在智能手机上创建逼真的3D人脸模型的有效方法。从正面和轮廓图像中自动提取人脸的主要特征,例如眼睛,鼻子,嘴唇,脸颊,下巴和轮廓边界,其中采用了ACM(主动轮廓模型)和可变形ICP(迭代最近点)方法。通过使通用模型变形来生成3D面部模型,以使3D面部模型正确对应于提取的面部特征。根据输入图像创建皮肤纹理贴图,该图像被映射到变形的3D面部模型上。在处理能力和存储能力有限的智能手机上,所有过程均得到有效实施和优化。实验结果表明,可以在各种测试样本上成功创建逼真的3D人脸模型。在现成的智能手机上大约需要6秒钟。

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