TY - GEN
T1 - A streamlined photometric stereo framework for cultural heritage
AU - Yeh, Chia Kai
AU - Matsuda, Nathan
AU - Huang, Xiang
AU - Li, Fengqiang
AU - Walton, Marc Sebastian
AU - Cossairt, Oliver Strides
N1 - Funding Information:
This project was undertaken at the Northwestern University/Art Institute of Chicago Center for Scientific Studies in the Arts (NU-ACCESS). NU-ACCESS is funded through a generous grant from the Andrew W. Mellon Foundation. Supplemental support is provided by the Materials Research Center, the Office of the Vice President for Research, the McCormick School of Engineering and Applied Science and the Department of Materials Science and Engineering at Northwestern University. Additionally, this work was supported in part by NSF CAREER grant IIS-1453192.
Publisher Copyright:
© Springer International Publishing Switzerland 2016.
PY - 2016
Y1 - 2016
N2 - 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’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.
AB - 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’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.
KW - 3D surface shape Reconstruction
KW - Near light position calibration
KW - Photogrammetry
KW - Photometric stereo
KW - Reflectance transformation imaging
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U2 - 10.1007/978-3-319-46604-0_51
DO - 10.1007/978-3-319-46604-0_51
M3 - Conference contribution
AN - SCOPUS:84989896180
SN - 9783319466033
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 738
EP - 752
BT - Computer Vision - ECCV 2016 Workshops, Proceedings
A2 - Hua, Gang
A2 - Jégou, Hervé
PB - Springer Verlag
T2 - 14th European Conference on Computer Vision, ECCV 2016
Y2 - 8 October 2016 through 16 October 2016
ER -