29 December 2008 Key technologies of outdoor augmented reality GIS
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Proceedings Volume 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA); 72853K (2008) https://doi.org/10.1117/12.814924
Event: International Conference on Earth Observation Data Processing and Analysis, 2008, Wuhan, China
Abstract
Augmented Reality (AR) is a growing research area in virtual reality and generates a composite view for the user. It is combination of the real scene viewed by the user and a virtual scene generated by the computer that augments the scene with additional information. About 80 percent information in the real world is related with spatial location. The combination of Geographical information system (GIS) and AR technologies would promote the development of outdoor AR systems, and also would explore a new research direction for GIS. The key technologies of outdoor augmented reality GIS, including basic tracking methods, display devices, typical applications and registration processes, are discussed. In indoor augmented reality's closed environments the tracking of position and head orientation as well as the presentation of information is much more unproblematic than the same task in an outdoor environment. The main application task of outdoor augmented reality GIS is the presentation of information to a user while moving through an unknown region. The system helps to detect automatically objects in sight of a person who need its information. It compares the conventional solutions of 3D registration with, while it discusses their algorithm procedure to basic parameters to give out their advantages and disadvantages at different condition. While affine transformation approach uses the idea of computer graphics and vision technology for reference. Its accuracy is mainly based on the precision and speed of scene feature point extracted from natural or artificial feature.
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Fu Ren, Fu Ren, Qingyun Du, Qingyun Du, Xueling Wu, Xueling Wu, } "Key technologies of outdoor augmented reality GIS", Proc. SPIE 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA), 72853K (29 December 2008); doi: 10.1117/12.814924; https://doi.org/10.1117/12.814924
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