Registered Relief Depth (RRD) borobudur dataset for single-frame depth prediction on one-side artifacts

Registered Relief Depth (RRD) borobudur dataset for single-frame depth prediction on one-side artifacts

Single-frame depth prediction is an efficient 3D reconstruction method for one-side artifacts. However, for this purpose, ground truth images, where the pixels are associated with the actual depth, are needed. The small number of publicly accessible datasets is an issue with the restoration of cultu...

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Bibliographic Details
Main Authors: Aufaclav Zatu Kusuma Frisky, Agus Harjoko, Lukman Awaludin, Andi Dharmawan, Nia Gella Augoestien, Ika Candradewi, Roghib Muhammad Hujja, Andi Putranto, Tri Hartono, Yudi Suhartono, Sebastian Zambanini, Robert Sablatnig
Format: Article
Language:English
Published: Elsevier 2021-04-01
Series:Data in Brief
Subjects:
Single-frame
Depth prediction
Relief
Temple
Registered image
One-side artifact
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340921001372

Internet

http://www.sciencedirect.com/science/article/pii/S2352340921001372

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