Document Type
Thesis
Date of Award
5-31-2020
Degree Name
Master of Science in Electrical Engineering - (M.S.)
Department
Electrical and Computer Engineering
First Advisor
Xuan Liu
Second Advisor
Haim Grebel
Third Advisor
Yi Yang
Abstract
Various optical technologies have been utilized to improve art conservation by art conservators, such as laser triangulation, stereophotogrammetry, structured light, laser scanner and time of flight sensors. These methods have been deployed to capture the 3D or surface topography information of sculptures and architectures. Optical coherence tomography (OCT) has introduced new imaging methods to study the surface features and subsurface structures of delicate cultural heritage objects. However, despite its higher spatial resolution, the field of view (FOV) of OCT severely limits the size of the scanning area and does not allow macroscopic examination. To solve this issue, we develop and validate a hybrid scanning platform combined with effective algorithm for real-time sampling and artifact removal to achieve macroscopic OCT (macro-OCT) imaging and generate the spectral 3D reconstruction of impressionist style oil paintings as a digital model.
Recommended Citation
Zhou, Xingyu, "Spectral 3d reconstruction based on macroscopic oct imaging" (2020). Theses. 1795.
https://digitalcommons.njit.edu/theses/1795
