Eyeball position recognition method and apparatus, device, and storage medium

By combining multiple cameras and using dynamic character switching, the problem of low accuracy in eye position recognition under natural conditions has been solved, improving recognition efficiency and accuracy, and supporting the realization of 3D display.

WO2026143668A1PCT designated stage Publication Date: 2026-07-09BEIJING SHIYAN TECH CO LTD
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Patent Information

Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
BEIJING SHIYAN TECH CO LTD
Filing Date
2025-01-03
Publication Date
2026-07-09

AI Technical Summary

Technical Problem

In existing technologies, eye position recognition is easily affected by light source reflection and scattering under natural environment or artificial lighting conditions, resulting in reduced detection accuracy. Furthermore, a single camera cannot accurately acquire the eye position in three-dimensional space, affecting the tracking continuity and accuracy of three-dimensional display. In addition, multi-camera recognition consumes more computing resources and has low efficiency.

Method used

A combined recognition method using multiple first and second cameras is employed. Location information and feature point information are collected by a depth camera and a grayscale camera, respectively. By utilizing the weight differences and dynamic role switching of the primary and secondary cameras, data processing efficiency and accuracy are improved.

Benefits of technology

It improves the efficiency and accuracy of eye position recognition, reduces the amount of data processing, enhances the adaptability and flexibility of the system, ensures accurate eye position recognition even under occlusion, and supports the realization of 3D display.

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Abstract

The present application relates to the technical field of display, and discloses an eyeball position recognition method and apparatus, a device, and a storage medium. The method comprises: acquiring position information of a target object collected by a plurality of first cameras at different angles, the weight of position information collected by a first main camera among the plurality of first cameras being greater than the weight of position information collected by a first auxiliary camera; on the basis of the position information collected by the plurality of first cameras and the weight, determining a position range where the eyeball of the target object is located; acquiring feature point information of the target object collected by a plurality of second cameras within the position range, the weight of feature point information collected by a second main camera among the plurality of second cameras being greater than the weight of feature point information collected by a second auxiliary camera; and determining the eyeball position of the target object on the basis of the feature point information collected by the plurality of second cameras and the weight. The present application shortens the collection range, reduces the volume of data to be processed, and improves the efficiency, accuracy and reliability of determining the eyeball position.
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