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改进Phong光照模型的人脸去高光与重光照算法

Face Highlights Removal and Relighting Algorithm Based on Improved Phong Illumination Model

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针对目前人脸重光照算法无法准确反映人脸反射情况的问题,提出了一种关于改进的Phong光照模型的人脸图像去高光算法与重光照算法.该算法主要分为三部分:1)依据该光照模型,可渲染得到合成数据集用以训练神经网络去除高光.2)利用半监督学习将去高光能力转移到真实人脸中.3)将去高光后人脸图像进一步分解为光照相关和无关分量.替换光照相关部分并重组图像,实现人脸重光照.实验结果表明,改进后的算法可提升重光照精确度与视觉效果.
Aiming at the problem that the current face relighting algorithm can not accurately reflect the face reflection,a face image specular removal algorithm and a relighting algorithm based on the improved Phong illumination model are proposed.The algo-rithm includes three parts.1)According to the illumination model,rendered synthetic data to train the neural network to remove highlights.2)The semi-supervised learning is used to transfer the ability of specular removal to real faces.3)After specular remov-al,face image is decomposed into components related to illumination and component unrelated to illumination.The component relat-ed is replaced to illumination ande the image is recombined to achieve face illumination.Experimental results show that the im-proved algorithm can improve the relighting accuracy and visual effect.

image-based relightingdeep learningillumination modelspecular removalinverse rendering

黄颖、王泽荃、李焱晖、黄江平

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重庆邮电大学软件工程学院 重庆 400065

基于图像的重光照 深度学习 光照模型 高光去除 逆渲染

2024

计算机与数字工程
中国船舶重工集团公司第七0九研究所

计算机与数字工程

CSTPCD
影响因子:0.355
ISSN:1672-9722
年,卷(期):2024.52(12)