TY - GEN
T1 - Depth Map Estimation of Single-View Image using Smartphone Camera for a 3-Dimension Image Generation in Augmented Reality
AU - Takarabe, Jun'Nosuke
AU - Sari, Irawati Nurmala
AU - Du, Weiwei
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Immersive experience exhibits such as augmented reality (AR) are a way to enjoy museums and art galleries because this way not only may update information easily but also does not require physical existence. However, 3-dimension (3D) images of AR are difficult to apply with one image as depth information either is unknown, or is cost and time consuming. This paper designs a depth map estimation method from single-view image by using smartphone camera to generate a 3D image in AR. Some functions are added into AR Depth Lab [7] in a personal computer (PC). Then, the improve AR Depth Lab [7] is installed into the smartphone. The depth map can be obtained by using patch-based depth estimation [8] and saved into the smartphone. The appropriate parameters of the proposal such as patch size, the cropped image size and the appropriate image models are set by experiments.
AB - Immersive experience exhibits such as augmented reality (AR) are a way to enjoy museums and art galleries because this way not only may update information easily but also does not require physical existence. However, 3-dimension (3D) images of AR are difficult to apply with one image as depth information either is unknown, or is cost and time consuming. This paper designs a depth map estimation method from single-view image by using smartphone camera to generate a 3D image in AR. Some functions are added into AR Depth Lab [7] in a personal computer (PC). Then, the improve AR Depth Lab [7] is installed into the smartphone. The depth map can be obtained by using patch-based depth estimation [8] and saved into the smartphone. The appropriate parameters of the proposal such as patch size, the cropped image size and the appropriate image models are set by experiments.
KW - 3D generation
KW - Augmented Reality
KW - depth map estimation
KW - single-view image
UR - https://www.scopus.com/pages/publications/85171462137
U2 - 10.1109/IS3C57901.2023.00052
DO - 10.1109/IS3C57901.2023.00052
M3 - Conference contribution
AN - SCOPUS:85171462137
T3 - Proceedings - 2023 6th International Symposium on Computer, Consumer and Control, IS3C 2023
SP - 167
EP - 170
BT - Proceedings - 2023 6th International Symposium on Computer, Consumer and Control, IS3C 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th International Symposium on Computer, Consumer and Control, IS3C 2023
Y2 - 30 June 2023 through 3 July 2023
ER -