| 摘要: |
| 提出了一种基于本征图像分解的人脸光照迁移算法.首先,针对本征图像分解效果不彻底的情况,提出了一种改进的本征图像分解方法.在此基础上,为了保持人脸细节特征,提出了一种基于边缘保留的光照滤波算法,对参照人脸进行光照迁移至目标人脸,最后融合目标材质图像与滤波后光照图像进行人脸重光照.实验结果表明,与已有算法相比,该算法能够很好地保留迁移后的人脸肤色,并且所生成的重光照效果更准确、自然. |
| 关键词: 本征图像分解 光照迁移 人脸重光照 线性滤波 |
| DOI： |
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| 基金项目:国家自然科学基金(61103137);国家科技支撑计划(2012BAH62F02);国家高技术研究发展计划(863)(2013AA013902) |
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| Face Illumination Transfer Algorithm Based on Intrinsic Images Decomposition |
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LIU Hao1,2, HU Ke-Xin1,2, LIU Yan-Li1,2
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1.College of Computer Science, Sichuan University, Chengdu 610065, China;2.National Key Laboratory of Fundamental Science on Synthetic Vision (Sichuan University), Chengdu 610065, China
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| Abstract: |
| In this paper, a face illumination transfer tech based on intrinsic images decomposition is proposed. Firstly, to tackle the issue that the intrinsic image decomposition effect is not perfect, an improved intrinsic image decomposition method is developed. Next, in order to maintain the face feature, a light filtering algorithm based on edge-preserving is created. The algorithm can transfer the illumination from reference face to target face without missing the target details. Finally, the reflectance image and the illumination image are merged to make face relighting. The experimental results show that compared with the existing algorithms, the presented algorithm can preserve the face skin after transfer and the new method produces light effect more reasonable and natural. |
| Key words: intrinsic image decomposition illumination transfer face relighting linear filter |
