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Nedelkovski, Igor
- Generating 3D Model in Virtual Reality and Analyzing its Performance
Abstract Views :205 |
PDF Views:109
Authors
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1 St. Kliment Ohridski University - Bitola, MK
1 St. Kliment Ohridski University - Bitola, MK
Source
AIRCC's International Journal of Computer Science and Information Technology, Vol 6, No 6 (2014), Pagination: 123-128Abstract
In this paper is presented an virtual environment of a real model. Here are given all analyzes for making and vizualization of virtual environment in Quest3D. All analyzes of performance of the system in real time is presented. We described advantages and disadvantages of interactions in virtual environment and made a critical analysis on a rendering speed and quality on different machines.Keywords
Virtual Reality, Virtual Environments, Scientific Visualization, Computer Design, Techniques of Interaction.- Recognizing and Tracking Outdoor Objects by using Artoolkit Markers
Abstract Views :255 |
PDF Views:129
Authors
Affiliations
1 University “St. Kliment Ohridski”, Bitola, North Macedonia, MK
1 University “St. Kliment Ohridski”, Bitola, North Macedonia, MK
Source
AIRCC's International Journal of Computer Science and Information Technology, Vol 11, No 6 (2019), Pagination: 21-28Abstract
We created an augmented reality platform for spatial exploration that recognizes buildings facades and displays various multimedia for different time points. In order to provide the user with the best user experience fast recognition and stable tracking are the key elements of any augmented reality app. In an outdoor environment, lighting, reflective surfaces and occlusion can drastically affect the user experience. In a setup where these conditions are similar, marker creation methodology and the app parameters are key. In this paper we focus on resizing the photo prior marker creating and the importance of camera calibration and resolution and their effect on the recognition speed and quality of tracking outdoor objects.Keywords
ARToolKit, Marker Creation, Camera Calibration, Recognition Speed, Tracking Quality.References
- B. Nenovski and I. Nedelkovski, "Defining a feature-rich end-to-end augmented reality platform for spatial exploration", PROCEEDINGS OF THE 8th INTERNATIONAL CONFERENCE ON APPLIED INTERNET AND INFORMATION TECHNOLOGIES, 2018.
- D. Khan et al., "Robust Tracking Through the Design of High Quality Fiducial Markers: An Optimization Tool for ARToolKit", IEEE Access, vol. 6, pp. 22421-22433, 2018.
- I. RABBI and S. ULLAH, "Extending the Tracking Distance of Fiducial Markers for Large Indoor Augmented Reality Applications", Advances in Electrical and Computer Engineering, vol. 15, no. 2, pp. 59-64, 2015.
- D. Abawi, J. Bienwald and R. Dorner, "Accuracy in Optical Tracking with Fiducial Markers: An Accuracy Function for ARToolKit", Third IEEE and ACM International Symposium on Mixed and Augmented Reality.
- I. Rabbi, S. Ullah, M. Javed and K. Zen, "Analysing the attributes of fiducial markers for robust tracking in augmented reality applications", International Journal of Computational Vision and Robotics, vol. 7, no. 12, p. 68, 2017.
- P. Malbezin, W. Piekarski and B. Thomas, "Measuring ARTootKit accuracy in long distance tracking experiments", The First IEEE International Workshop Agumented Reality Toolkit,.
- D. Khan, S. Ullah and I. Rabbi, "Factors affecting the design and tracking of ARToolKit markers", Computer Standards & Interfaces, vol. 41, pp. 56-66, 2015.
- "rkalla/imgscalr", GitHub, 2019. [Online]. Available: https://github.com/rkalla/imgscalr. [Accessed: 22- Nov- 2019].