ACADSTAFF UGM

CREATION
Title : Registered Relief Depth (RRD) Borobudur Dataset for Single-frame Depth Prediction on one-side Artifacts
Author :

Dr. techn. Aufaclav Zatu Kusuma Frisky S.Si., M.Sc. (1) Prof. Drs. Agus Harjoko, M.Sc., Ph.D. (2) Lukman Awaludin, S.Si., M.Cs. (3) Dr. Andi Dharmawan, S.Si., M.Cs. (4) Nia Gella Augoestien, S.Si., M.Cs. (5) Ika Candradewi, S.Si., M.Cs. (6) Roghib Muhammad Hujja, S.Si., M.Cs. (7) Andi Putranto (8) Tri Hartono (9) Yudi Suhartono (10) Sebastian Zambanini (11) Robert Sablatnig (12)
Date : 0 2021
Keyword : Single-frame, Depth Prediction, Relief, Temple, Registered image, One-side artifact, Cultural heritage Single-frame, Depth Prediction, Relief, Temple, Registered image, One-side artifact, Cultural heritage
Abstract : 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 cultural heritage objects. In addition, relief data with irregular characteristics due to nature and human treatment, such as decolorization caused by moss and chemical reaction is still not available. We therefore created a dataset of Borobudur temple reliefs registered with their depth for data availability to solve these problems. This data collection consists of 4608 x 3456 (4K) resolution and profound RGB frames and is called the Recorded Relief Depth (RRD) Temple Dataset. We call this dataset the Registered Relief Depth (RRD) Borobudur Dataset. The RGB images have been taken using an Olympus EM10 II Camera with a 14mm f/3.5 lens and the depth images were obtained directly using an ASUS XTION scanner, acquired on the temple’s reliefs at 15000-25000 lux day time. The registration process of RGB data and depth information was manually performed via control points and was directly supervised by the archaeologist. Apart of enriching the data availability, this dataset can become an opportunity for International researchers to understand more about Indonesian Cultural Heritages.
Group of Knowledge : Ilmu Komputer
Original Language : English
Level : Internasional
Status :
Published
Document
No Title Document Type Action
1 1-s2_0-S2352340921001372-main.pdf
Document Type : Bukti Published
Bukti Published View
2 Bukti Korespondensi Data in Brief - Borobudur-lengkap.pdf
Document Type : [PAK] Bukti Korespondensi Penulis
[PAK] Bukti Korespondensi Penulis View
3 Editorial board - Data in Brief _ ScienceDirect_com by Elsevier.pdf
Document Type : [PAK] Halaman Editorial
[PAK] Halaman Editorial View
4 front-Data in Brief _ Journal _ ScienceDirect_com by Elsevier.pdf
Document Type : [PAK] Halaman Cover
[PAK] Halaman Cover View
5 1-s2_0-S2352340921001372-main-Artikel Borobudur-DIB-lengkap-PAK-low.pdf
Document Type : [PAK] Full Dokumen
[PAK] Full Dokumen View
6 Registered Relief Depth (RRD) borobudur dataset for single-frame depth prediction on one-side artifacts.pdf
Document Type : [PAK] Cek Similarity
[PAK] Cek Similarity View
7 PEER REVIEW_Agus Harjoko_Tambahan1.pdf
Document Type : [PAK] Peer Review
[PAK] Peer Review View
8 Registered Relief Depth (RRD) borobudur.pdf
Document Type : [PAK] Full Dokumen
[PAK] Full Dokumen View