Abstract
The human brain is not able to process the vast amount of visual information that originates in the environment around us. Therefore, a complex process of human visual attention based on the principles of selectivity and prioritization helps us to choose only the most important parts of the scene for further analysis. These principles are driven by the visual saliency derived from certain aspects of the scene parts. In this paper, we focus on the objects’ depth salience which undoubtedly plays its role in processing visual information and has still not been thoroughly studied until now.
The aim of our work is to investigate depth perception tendencies using an advanced experimental methodology in the environment of virtual reality. Based on the state-of-the-art of the attention modelling in the 3-D environment, we designed and carried out an extensive eye-tracking experimental study in the virtual reality with 37 participants observing artificial scenes designed for exploring trends in the depth perception in the virtual 3-D environment. We analyzed the acquired data and discuss the revealed depth perception tendencies in virtual reality alongside future possible applications.
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Notes
- 1.
The dataset is publicly available on demand.
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Polláková, J., Laco, M., Benesova, W. (2020). Depth Perception Tendencies in the 3-D Environment of Virtual Reality. In: Chmielewski, L.J., Kozera, R., Orłowski, A. (eds) Computer Vision and Graphics. ICCVG 2020. Lecture Notes in Computer Science(), vol 12334. Springer, Cham. https://doi.org/10.1007/978-3-030-59006-2_13
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