Скачать или смотреть A Classification of Augmented Reality Approaches for Spatial Data Visualization

AR application demo for our paper "A Classification of Augmented Reality Approaches for Spatial Data Visualization"
Kostas Cheliotis, Fotis Liarokapis, Margarita Kokla, Eleni Tomai, Katerina Pastra, Athanasia Darra, Maria Beserianou, Marinos Kavouras
IEEE International Symposium on Mixed and Augmented Reality (ISMAR) 2021

In this work we present an initial classification of Augmented Reality (AR) approaches for spatial data visualization, highlighting the different spatial characteristics of AR applications that are of particular relevance to the geospatial sciences. These classification axes are:

The Visualization Size, relating to the area/volume that the visualization occupies, and of the user actions needed to perceive it in full.

The Visualization Scale, referring to the size of the presented data in relation to the size of the real-world element they represent.

The Acknowledgement of Physical Environment, referring to how the AR application integrates within the virtual world the physical characteristics around the user, e.g. for the purposes of visual occlusion.

The View Alignment, focusing on how AR applications attempt to align the view of the virtual environment with the physical environment.


K. Cheliotis et al., "A Classification of Augmented Reality Approaches for Spatial Data Visualization," 2021 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), 2021, pp. 367-372, doi: 10.1109/ISMAR-Adjunct54149.2021.00084.

The research project was supported by the Hellenic Foundation for Research and Innovation (H.F.R.I.) (https://www.elidek.gr/en/) under the "First Call for H.F.R.I. Research Projects to support Faculty members and Researchers and the procurement of high-cost research equipment" (Project Number: HFRI-FM17-2661). This research was partially supported by the project that has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under Grant Agreement No 739578 and the Government of the Republic of Cyprus through the Deputy Ministry of Research, Innovation and Digital Policy.

Find out more about the CYBERCARTO research project: http://cybercarto.ntua.gr/