A recognition method of virtual augmentation device based on eye movement trajectory

Abstract

The invention discloses a method for identifying a virtual enhancement device based on eye movement trajectory, comprising: step 1: using a real scene acquisition camera; step 2: tracking the camera through eyeball; step 3: computer vision server realizes eyeball area acquisition, eyeball key Point extraction and feature calculation; Step 4: Initialize the training database by the eye movement track analysis server; Step 5: Use an EEG signal collector; Step 6: Preprocess and transform the EEG signal data by the EEG signal analysis server; Step 7: Virtual scene The rendering server analyzes the eye movement trajectory and EEG data; Step 8: The display device outputs and displays the virtual-real scene image after automatic depth fusion rendering. Compared with the traditional technology, the present invention can adjust the focus degree of the image displayed by the augmented reality system in real time and adjust the depth of field effect of the virtual scene in the augmented reality system by acquiring the eye movement trajectory and the EEG signal data in real time, and performing calculation and analysis, thereby improving the user experience. of immersion.

Description

technical field [0001] The invention relates to the technical field of augmented reality, in particular to a method for identifying a virtual augmentation device based on eye movement trajectory. Background technique [0002] Augmented Reality (AR) is a technology that "seamlessly" integrates real world information and virtual world information. AR system involves many fields of computer science, including multimedia, 3D modeling, real-time video display and control, multi-sensor fusion, real-time tracking and 3D registration, scene fusion and other technologies. [0003] The AR system can seamlessly superimpose virtual information into the real scene, helping users in a highly immersive "enhanced" environment to better understand and feel the environment. In order to achieve this goal, the AR system needs to be able to solve the problem of consistency between virtual and real fusion. [0004] Usually in AR systems, the virtual-real fusion consistency problem can be divide...

AI Technical Summary

Problems solved by technology

However, the existing illumination estimation methods based on image content analysis are mostly based on the traditional PC platform, and the complexity of the algorithm itself is relatively high.

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