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	Novel Self-Portrait Enhancement via Multi-Photo Fusing
	Xia, Sifeng ; Yang, Shuai ; Liu, Jiaying ; Guo, Zongming
	2016
英文摘要	In this paper, we present a novel multi-photo-based framework to solve a self-portrait enhancement problem we call "1+2 problem", in which a self-portrait photo is enhanced with the help of two multiple photos that share the same scene and similar shooting time. The key idea is to exploit the extra information of these two photos to overcome the limited field of view and poor illumination of the target self-portrait. Given 1+2 photos, our method first performs an illumination adjustment to accomplish a uniform lighting style. Then these photos are aligned using the homography transformation matrices which are estimated by RANSAC over the matched SIFT feature points. Furthermore, a Markov Random Field based approach is proposed to globally fuse the aligned photos nicely. Experimental results demonstrate that the proposed method achieves satisfying results in this novel application scenario.; National High-tech Technology R&D Program (863 Program) of China [2014AA015205]; National Natural Science Foundation of China [61472011]; CPCI-S(ISTP)
语种	英语
出处	Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA)
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/459654]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Xia, Sifeng,Yang, Shuai,Liu, Jiaying,et al. Novel Self-Portrait Enhancement via Multi-Photo Fusing. 2016-01-01.

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