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Automatic facade recovery from single nighttime image

Frontiers of Computer Science 2020年第1期14卷 95-104页

作者： Yi ZHOU Qichuan GENG Zhong ZHOU Wei WU State Key Laboratory of Virtual Reality Technology and Systems Beihang UniversityBeijing 100083China

nighttime images are difficult to process due to insufficient brightness,lots of noise,and lack of ***,they are always removed from time-lapsed image *** is interesting that nighttime images have a unique and wonderful building features that have robust and salient lighting cues from human *** variation depicts both the statistical and individual habitation,and it has an inherent man-made repetitive structure from architectural *** by this,we propose an automatic nighttime fa?ade recovery method that exploits the lattice structures of window ***,a simple but efficient classification method is employed to determine the salient bright regions,which may be lit *** we groupwindows into multiple lattice proposals with respect to fa?ades by patch matching,followed by greedily removing overlapping *** the horizon constraint,we solve the ambiguous proposals problem and obtain the correct ***,we complete the generated fa?ades by filling in the missing *** method is well suited for use in urban environments,and the results can be used as a good single-view compensation method for daytime *** method also acts as a semantic input to other learning-based 3D image reconstruction *** experiment demonstrates that our method works well in nighttime image datasets,and we obtain a high lattice detection rate of 82.1%of 82 challenging images with a low mean orientation error of 12.1±4.5 degrees.

关键词： facade recovery nighttime images lattice detection

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