Visual Saliency Detection Framework for 3D Environment using Virtual Reality Devices
Shuai Hong, Hui Dong Cheng, Bo Mao · 2018
Visual saliency is essential for attention analysis and it is usually measured by eye tracking system, which is widely used in the fields of design evaluation, user's gaze and behavior analysis. This study combines virtual reality with eye tracking technology and applies HTC Vive VR helmet to simulate eye tracker for both two-dimensional and three-dimensional cases study. We collect user's gaze points data and draw the scatter diagram and the thermodynamic map to analyze the user's visual saliency in completely 3D environment. The quantitative error of user's visual saliency data in virtual reality environment is analyzed by setting the average offset distance and offset degree indexes. The experiment results indicate that the proposed framework can be used to detect the visual saliency in 3D environment accurately that is has practical significance to the application of user's visual saliency analysis in the virtual reality environment.