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:2019,28(5):28-34
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基于标准肤色的人脸图像纹理合成与三维重建应用
(1.浙江理工大学 信息学院, 杭州 310018;2.浙江理工大学 理学院, 杭州 310018)
Face Texture Synthesis and 3D Reconstruction Based on Standard Skin Color
(1.School of Information Science and Technology, Zhejiang Sci-Tech University, Hangzhou 310018, China;2.School of Science, Zhejiang Sci-Tech University, Hangzhou 310018, China)
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投稿时间:2018-11-06    修订日期:2018-11-23
中文摘要: 本文提出一种基于单幅人脸图像并结合标准肤色的人脸图像纹理合成和三维重建算法.首先,利用ASM算法提取人脸特征点,并通过基于局部线性嵌入算法的编辑传播实现颜色转换,使图像人脸色调与三维人脸模型标准肤色一致.接着,将人脸图像五官区域与标准肤色图进行泊松融合,并考虑眉毛遮挡情况,利用人脸对称性或眉毛模板还原眉毛.尤其对于半遮挡眉毛,采用Li模型和角点检测相结合的方法重建眉毛轮廓,得到最终人脸纹理图.最后通过纹理映射将人脸纹理图映射到三维人脸模型上,得到较好的个性化三维人脸重建效果.实验表明,本文算法能够适用于不同复杂背景和光照条件下拍摄的人脸图像,具有较快的处理速度,能够应用于人脸实时重建产品中.
Abstract:This paper presents a texture synthesis and 3D reconstruction algorithm based on a single face image combined with standard skin color. Firstly, ASM algorithm is used to extract face feature points, and color conversion is realized by editing propagation based on Local Linear Embedding algorithm, so that the tone of face image is consistent with the standard skin color of 3D face model. Then, the facial features are fused with the standard skin color map, and the eyebrow occlusion is considered. The eyebrows are restored by using the facial symmetry or eyebrow template. Especially for semi-occluded eyebrows, the method of combining Li model with corner detection is used to reconstruct the eyebrow contour and get the final face texture. Finally, the face texture map is mapped to the three-dimensional face model by texture mapping, and a better personalized three-dimensional face reconstruction effect is obtained. Experiments show that the proposed algorithm can be applied to face images captured under different complex background and illumination conditions. It has a faster processing speed and can be applied to real-time face reconstruction products.
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阳策,李重,任义,刘恒.基于标准肤色的人脸图像纹理合成与三维重建应用.计算机系统应用,2019,28(5):28-34
YANG Ce,LI Zhong,REN Yi,LIU Heng.Face Texture Synthesis and 3D Reconstruction Based on Standard Skin Color.COMPUTER SYSTEMS APPLICATIONS,2019,28(5):28-34

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