Abstract
We propose several approaches when programming applications for Microsoft HoloLens. These applications aim at close cooperation of real world with holographic objects (virtual reality). Often a precise placement that does not change with the position of a user can be challenging. One way of avoiding such problems is to use technology of anchors. Another way proposed in this paper is a prior scanning of object of interest with an application aimed for Vuforia plugin. Both concepts use close cooperation with user-friendly environment for developing of mixed reality applications – Unity. We present and discuss examples in this article. The area of precise location for mixed reality (augmented reality mixed with real reality in a way that one can interact witch each other) is of paramount importance. If we know precise position of virtual objects in the scene and precise position of the device in the scene, we can alleviate the burden of massive computing within HoloLens. As a result, we gain better experience from mixed reality.
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References
Singh, H., Singh, S.: Virtual reality: a brief survey. In: 2017 International Conference on Information Communication and Embedded Systems (ICICES), India (2017)
Sharples, S., Cobb, S., Moody, A., Wilson, J.R.: Virtual reality induced symptoms and effects (VRISE): comparison of head mounted display (HMD), desktop and projection display systems. Displays 29(2), 58–69 (2008)
He, J.B., et al.: Does wearable device bring distraction closer to drivers? Comparing smartphones and Google Glass. Appl. Ergon. 70, 156–166 (2018)
Hoffman, M.A.: The future of three-dimensional thinking. Science 353(6302), 876 (2016)
Robinett, W., Holloway, R.: The visual display transformation for virtual reality. Presence Teleoperators Virtual Environ. 4(1), 1–23 (1995)
Grubert, J., et al.: A survey of calibration methods for optical see-through head-mounted displays. IEEE Trans. Visual Comput. Graphics 24(9), 2469–2662 (2017)
Vassallo, R., et al.: Hologram stability evaluation for Microsoft HoloLens. In: SPIE Medical Imaging, Florida, USA (2017)
Garon, M., et al.: Real-time high resolution 3D data on the HoloLens. In: IEEE International Symposium on Mixed Reality and Augmented Reality, Mexico (2016)
Tan, D.J., et al.: A versatile learning-based 3D temporal tracker: scalable, robust, online. In: IEEE International Conference on Computer Vision, Chile (2015)
Yang, Q., et al.: Kalman filter based localization and tracking estimation for HIMR RFID systems. In: IEEE International Conference on RFID, Florida, USA (2018)
Wohlart, P., Lepetit, V.: Learning descriptors for object recognition and 3D pose estimation. In: IEEE Conference on Computer Vision and Pattern Recognition, Boston, USA (2015)
Li, L., et al.: Accurate device-free tracking using inexpensive RFIDs. Sensors 18(9), 2816 (2018)
Yu, K., et al.: On the accuracy of low-cost motion capture systems for range of motion measurements. In: Medical Imaging, Texas, USA (2018)
Marques, B., et al.: Evaluating and enhancing Google Tango localization in indoor environments using fiducial markers. In: IEEE International Conference on Autonomous Robot Systems and Competitions, Portugal (2018)
Yang, X., et al.: Robust and real-time tracking for augmented reality on mobile devices. Multimedia Tools Appl. 77(6), 6607–6628 (2018)
Bajana, J., et al.: Mobile tracking system and optical tracking integration for mobile mixed reality. Int. J. Comput. Appl. Technol. 53(1), 13–22 (2016)
Acknowledgment
The result was obtained through the financial support of the Ministry of Education, Youth and Sports of the Czech Republic and the European Union (European Structural and Investment Funds - Operational Programme Research, Development and Education) in the frames of the project “Modular platform for autonomous chassis of specialized electric vehicles for freight and equipment transportation”, Reg. No. CZ.02.1.01/0.0/0.0/16_025/0007293.
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Cýrus, J., Krčmařík, D., Petrů, M., Kočí, J. (2020). Cooperation of Virtual Reality and Real Objects with HoloLens. In: Arai, K., Kapoor, S. (eds) Advances in Computer Vision. CVC 2019. Advances in Intelligent Systems and Computing, vol 944. Springer, Cham. https://doi.org/10.1007/978-3-030-17798-0_10
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DOI: https://doi.org/10.1007/978-3-030-17798-0_10
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