@inproceedings{2df7067a942340768510e8eab3892256,
title = "A streamlined photometric stereo framework for cultural heritage",
abstract = "In this paper, we propose a streamlined framework of robust 3D acquisition for cultural heritage using both photometric stereo and photogrammetric information. An uncalibrated photometric stereo setup is augmented by a synchronized secondary witness camera co-located with a point light source. By recovering the witness camera{\textquoteright}s position for each exposure with photogrammetry techniques, we estimate the precise 3D location of the light source relative to the photometric stereo camera. We have shown a significant improvement in both light source position estimation and normal map recovery compared to previous uncalibrated photometric stereo techniques. In addition, with the new configuration we propose, we benefit from improved surface shape recovery by jointly incorporating corrected photometric stereo surface normals and a sparse 3D point cloud from photogrammetry.",
keywords = "3D surface shape Reconstruction, Near light position calibration, Photogrammetry, Photometric stereo, Reflectance transformation imaging",
author = "Yeh, {Chia Kai} and Nathan Matsuda and Xiang Huang and Fengqiang Li and Walton, {Marc Sebastian} and Cossairt, {Oliver Strides}",
year = "2016",
month = jan
day = "1",
doi = "10.1007/978-3-319-46604-0_51",
language = "English (US)",
isbn = "9783319466033",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "738--752",
editor = "Gang Hua and Herv{\'e} J{\'e}gou",
booktitle = "Computer Vision - ECCV 2016 Workshops, Proceedings",
address = "Germany",
note = "14th European Conference on Computer Vision, ECCV 2016 ; Conference date: 08-10-2016 Through 16-10-2016",
}