TY - GEN
T1 - Low-budget 3D scanning and material estimation using PyTorch3D
AU - Cossairt, Oliver
AU - Willomitzer, Florian
AU - Yeh, Chai Kai
AU - Walton, Marc Sebastian
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/11/1
Y1 - 2020/11/1
N2 - In this paper, we present recent results on our effort to develop low-budget, high precision 3D scanning solutions for art museum conservators. There is a real need for this in cultural heritage applications where the potential to detect and monitor degradations is of critical importance, but financial resources for high-quality 3D scanning devices is limited to a select few larger institutions. The technology we have developed uses just a screen and camera to recover sub-mm 3D surface features in paintings, drawings, and stained-glass artworks (see Figs. 1 - 3 ). Our mobile Multi-view phase-shifting deflectometry system allows for the three-dimensional measurement of extended specular surfaces with high surface normal variations [1]. It consists only of a mobile handheld device (such as a tablet) and exploits screen and front camera for reflectance-based surface measurements.
AB - In this paper, we present recent results on our effort to develop low-budget, high precision 3D scanning solutions for art museum conservators. There is a real need for this in cultural heritage applications where the potential to detect and monitor degradations is of critical importance, but financial resources for high-quality 3D scanning devices is limited to a select few larger institutions. The technology we have developed uses just a screen and camera to recover sub-mm 3D surface features in paintings, drawings, and stained-glass artworks (see Figs. 1 - 3 ). Our mobile Multi-view phase-shifting deflectometry system allows for the three-dimensional measurement of extended specular surfaces with high surface normal variations [1]. It consists only of a mobile handheld device (such as a tablet) and exploits screen and front camera for reflectance-based surface measurements.
UR - http://www.scopus.com/inward/record.url?scp=85107723025&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85107723025&partnerID=8YFLogxK
U2 - 10.1109/IEEECONF51394.2020.9443521
DO - 10.1109/IEEECONF51394.2020.9443521
M3 - Conference contribution
AN - SCOPUS:85107723025
T3 - Conference Record - Asilomar Conference on Signals, Systems and Computers
SP - 1316
EP - 1317
BT - Conference Record of the 54th Asilomar Conference on Signals, Systems and Computers, ACSSC 2020
A2 - Matthews, Michael B.
PB - IEEE Computer Society
T2 - 54th Asilomar Conference on Signals, Systems and Computers, ACSSC 2020
Y2 - 1 November 2020 through 5 November 2020
ER -
