Biological Bias of Saliency Model in VR

Haojun Xu, Feng Tian · 2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) · 2020

Limited by human structure, the viewer in VR environment could only get a part of the scenes. VR saliency model is extended from flat saliency model, and it should have a bias to represent this physiological constraint. In this paper, we design two objective experiments to collect the distribution data of viewer in both free-viewing situation and the saliency area moving situation. We use the random generation and abstraction to avoid the inference from the participants' knowledge. As the result, we find that for the free-viewing situation, the participants gaze point shown cross-shaped distribution, and the participants would rather see the front area than always turning around.

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