Eye Light Spot Tracking Using Local Frame Detection
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Solution Overview
Problem
Existing methods for detecting light spots in eye images for virtual reality devices require global searches, leading to high computational load and power consumption, which is particularly problematic for mobile devices.
Innovation Solution
A light spot tracking method that utilizes inter-frame moving characteristics to perform local detection, reducing the detection range by determining a local detection area based on a light spot in a previous frame, and identifying the light spot position within this area using pixel brightness judgment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If global search is performed on the entire eye image sequence to detect light spot position, then measurement precision is improved, but use of energy and computational load increase significantly
Solution Approach 1:
The patent applies preliminary action by performing light spot detection on a previous frame first to obtain the light spot position, then using this position as the center to define a local detection area for the current frame. This preliminary detection in the previous frame enables the current frame's detection to be localized rather than global, significantly reducing computational load and power consumption while maintaining detection accuracy through inter-frame position correlation.
2Measurement precision
If global search is performed on the entire eye image sequence to detect light spot position, then measurement precision is improved, but productivity decreases due to large computational amount
Solution Approach 1:
The patent applies preliminary action by performing light spot detection on a previous frame first to obtain the light spot position, then using this position as the center to define a local detection area for the current frame. This preliminary detection in the previous frame enables the current frame's detection to be localized rather than global, significantly reducing computational load and power consumption while maintaining detection accuracy through inter-frame position correlation.
3Use of energy by moving object
If local detection area is used based on previous frame light spot position, then use of energy is reduced, but measurement precision may be compromised if light spot moves significantly
Solution Approach 1:
The patent applies dynamics by adaptively adjusting the size of the local detection area based on the actual light spot movement characteristics between frames. The detection area is dynamically sized to encompass the expected light spot position and potential movement range, ensuring that even if the light spot moves significantly, it remains within the local detection area while still maintaining reduced computational load compared to global search.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach reduces computational load and power consumption while maintaining accuracy in light spot detection, improving the endurance of mobile devices.
Implementation Method 1
determining a light spot recognition result of the eye image of the to-be-detected frame in response to a pixel brightness judgment result of a first target position located in the local detection area, wherein the first target position is a position with the highest brightness in the local detection area
Data Source
AI summary
The present disclosure provides a light spot tracking method, apparatus, an electronic device, and a storage medium, the method comprising: extracting an eye image of a target frame and an eye image of a to-be-detected frame from an eye image sequence, wherein the eye image of the target frame contains a light spot, and the acquisition time of the eye image of the target frame is earlier than the acquisition time of the eye image of the to-be-detected frame; acquiring a local detection area from the eye image of the to-be-detected frame based on the light spot; and determining a light spot recognition result of the eye image of the to-be-detected frame in response to a pixel brightness judgment result of a first target position located in the local detection area, wherein the first target position is a position with the highest brightness in the local detection area.