PS-FCN: a flexible learning framework for photometric stereo
This paper addresses the problem of photometric stereo for non-Lambertian surfaces. Existing approaches often adopt simplified reflectance models to make the problem more tractable, but this greatly hinders their applications on real-world objects. In this paper, we propose a deep fully convolutiona...
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Format: | Conference item |
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Springer Verlag
2018
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