Demultiplexing Colored Images for Multispectral Photometric Stereo via Deep Neural Networks

Recovering fine-scale surface shapes is a challenging task in computer vision. Multispectral photometric stereo is one of the popular methods as it can handle non-rigid/moving objects and produces per-pixel dense results. However, the colored images captured by practical multispectral photometric st...

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发表在:	IEEE Access
Main Authors:	Yakun Ju, Lin Qi, Huiyu Zhou, Junyu Dong, Liang Lu
格式:	文件
语言:	英语
出版:	IEEE 2018-01-01
主题:	Multispectal photometric stereo spectrum demultiplexing normal estimation deep neural networks
在线阅读:	https://ieeexplore.ieee.org/document/8364553/