3D Surface Profilometry Using Phase Shifting of De Bruijn Pattern
Abstract
A novel structured light method for color 3D surface profilometry is proposed. The proposed method does not require color calibration of a camera-projector pair and may be used for reconstruction of both dynamic and static scenes. The method uses a structured light pattern that is a combination of a De Bruijn color sequence and of a sinusoidal fringe. For dynamic scenes a Hessian ridge detector and a Gaussian mixture model are combined to extract stripe centers and to identify color. Stripes are then uniquely identified using dynamic programming based on the Smith-Waterman algorithm and a De Bruijn window property. For static scenes phase-shifting and De Bruijn window property are combined to obtain a high accuracy reconstruction. We have tested the proposed method on multiple objects with challenging surfaces and different albedos that demonstrate usability and robustness of the method.
Cite
Text
Donlic et al. "3D Surface Profilometry Using Phase Shifting of De Bruijn Pattern." International Conference on Computer Vision, 2015. doi:10.1109/ICCV.2015.116Markdown
[Donlic et al. "3D Surface Profilometry Using Phase Shifting of De Bruijn Pattern." International Conference on Computer Vision, 2015.](https://mlanthology.org/iccv/2015/donlic2015iccv-3d/) doi:10.1109/ICCV.2015.116BibTeX
@inproceedings{donlic2015iccv-3d,
title = {{3D Surface Profilometry Using Phase Shifting of De Bruijn Pattern}},
author = {Donlic, Matea and Petkovic, Tomislav and Pribanic, Tomislav},
booktitle = {International Conference on Computer Vision},
year = {2015},
doi = {10.1109/ICCV.2015.116},
url = {https://mlanthology.org/iccv/2015/donlic2015iccv-3d/}
}