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arXiv · 1708.00411

Depth Super-Resolution Meets Uncalibrated Photometric Stereo

Songyou Peng·Bjoern Haefner·Yvain Quéau·Daniel Cremers
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Abstract

A novel depth super-resolution approach for RGB-D sensors is presented. It disambiguates depth super-resolution through high-resolution photometric clues and, symmetrically, it disambiguates uncalibrated photometric stereo through low-resolution depth cues. To this end, an RGB-D sequence is acquired from the same viewing angle, while illuminating the scene from various uncalibrated directions. This sequence is handled by a variational framework which fits high-resolution shape and reflectance, as well as lighting, to both the low-resolution depth measurements and the high-resolution RGB ones. The key novelty consists in a new PDE-based photometric stereo regularizer which implicitly ensures surface regularity. This allows to carry out depth super-resolution in a purely data-driven manner, without the need for any ad-hoc prior or material calibration. Real-world experiments are carried out using an out-of-the-box RGB-D sensor and a hand-held LED light source.

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Songyou Peng, Bjoern Haefner, Yvain Quéau, Daniel Cremers. 2017-08-01. Depth Super-Resolution Meets Uncalibrated Photometric Stereo. https://arxiv.org/abs/1708.00411

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