Augmented reality technology overview for tourism app development
Publication
, Conference
Tian, F; Xu, F; Fu, J
Published in: Proceedings International Conference on Machine Learning and Cybernetics
January 1, 2013
With massive penetration of mobile phones the tourism industry is adopting augmented technology (AR) and apps supported by smartphones to create and provide a memorable and exciting experience to tourists with fun, interaction and learning. In this paper we first introduce the basic AR technology and then review several typical and well-known AR engines/platforms developed by companies and research institutes, focusing on their technical aspects. The challenges and recent development trends and directions are analysed to provide an insight for future research and development of AR technology for tourism and beyond.
Duke Scholars
Published In
Proceedings International Conference on Machine Learning and Cybernetics
DOI
EISSN
2160-1348
ISSN
2160-133X
Publication Date
January 1, 2013
Volume
4
Start / End Page
1483 / 1489
Citation
APA
Chicago
ICMJE
MLA
NLM
Tian, F., Xu, F., & Fu, J. (2013). Augmented reality technology overview for tourism app development. In Proceedings International Conference on Machine Learning and Cybernetics (Vol. 4, pp. 1483–1489). https://doi.org/10.1109/ICMLC.2013.6890839
Tian, F., F. Xu, and J. Fu. “Augmented reality technology overview for tourism app development.” In Proceedings International Conference on Machine Learning and Cybernetics, 4:1483–89, 2013. https://doi.org/10.1109/ICMLC.2013.6890839.
Tian F, Xu F, Fu J. Augmented reality technology overview for tourism app development. In: Proceedings International Conference on Machine Learning and Cybernetics. 2013. p. 1483–9.
Tian, F., et al. “Augmented reality technology overview for tourism app development.” Proceedings International Conference on Machine Learning and Cybernetics, vol. 4, 2013, pp. 1483–89. Scopus, doi:10.1109/ICMLC.2013.6890839.
Tian F, Xu F, Fu J. Augmented reality technology overview for tourism app development. Proceedings International Conference on Machine Learning and Cybernetics. 2013. p. 1483–1489.
Published In
Proceedings International Conference on Machine Learning and Cybernetics
DOI
EISSN
2160-1348
ISSN
2160-133X
Publication Date
January 1, 2013
Volume
4
Start / End Page
1483 / 1489