TY - GEN
T1 - Virtual and augmented reality to historical site reconstruction
T2 - 2018 International Conference on Artificial Intelligence and Virtual Reality, AIVR 2018
AU - Wei, Chun Chun
AU - Chen, Fanfan
AU - Chen, Chien Hsu
AU - Lin, Yang Cheng
N1 - Publisher Copyright:
© 2018 Association for Computing Machinery.
PY - 2018/11/23
Y1 - 2018/11/23
N2 - The cultural assets of Taiwan’s railway heritage are rich and Taiwanese railway museums have gradually appeared each showcasing somewhat different characteristics through a variety of static or animated presentations. The Taitung old railway station is a historical site and in this pilot study we choose it as a good example to illustrate how to pave the way for an interdisciplinary and cutting-edge cultural creation by applying new technologies, such as virtual reality (VR) and augmented reality (AR), to a historical site. With their powerful advantages, we can reconstruct the historical site to develop the VR and AR simulation systems that provide an interactive environment for people to experience and appreciate the east Taiwan old railway station and railway culture.
AB - The cultural assets of Taiwan’s railway heritage are rich and Taiwanese railway museums have gradually appeared each showcasing somewhat different characteristics through a variety of static or animated presentations. The Taitung old railway station is a historical site and in this pilot study we choose it as a good example to illustrate how to pave the way for an interdisciplinary and cutting-edge cultural creation by applying new technologies, such as virtual reality (VR) and augmented reality (AR), to a historical site. With their powerful advantages, we can reconstruct the historical site to develop the VR and AR simulation systems that provide an interactive environment for people to experience and appreciate the east Taiwan old railway station and railway culture.
UR - http://www.scopus.com/inward/record.url?scp=85062800794&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85062800794&partnerID=8YFLogxK
U2 - 10.1145/3293663.3293675
DO - 10.1145/3293663.3293675
M3 - Conference contribution
AN - SCOPUS:85062800794
T3 - ACM International Conference Proceeding Series
SP - 42
EP - 46
BT - AIVR 2018 - 2018 International Conference on Artificial Intelligence and Virtual Reality
PB - Association for Computing Machinery
Y2 - 23 November 2018 through 25 November 2018
ER -