Gaze Point Detection for Image Collection Accuracy
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Solution Overview
Problem
Current image collection systems lack the accuracy and speed in focusing on a user's intended object, especially in human-computer interaction scenarios, where natural and intuitive interaction is desired.
Innovation Solution
An image collection system that includes a gaze point detection device with a fundus image collection module, an adjustable lens module, and an image processing module to detect the gaze point by collecting and processing images of the user's fundus, adjusting imaging parameters, and determining the gaze point location for precise focusing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional focusing methods are used in image collection systems, then the system structure remains simple, but the focusing accuracy and speed are insufficient
Solution Approach 1:
The system divides the focusing task into two independent modules: a gaze point detection device that captures eye movement information, and an image collection device that executes focusing based on detected gaze points. This segmentation allows each module to be optimized independently, achieving high focusing accuracy without requiring complete system redesign.
Solution Approach 2:
The gaze point detection device serves as an intermediary between the user and the image collection device. It translates user eye movements into focusing instructions, enabling intuitive control of the image collection device's focus without complex user interfaces or manual adjustments.
2Productivity
If gaze point detection is implemented to improve focusing speed, then the interaction naturalness improves, but the device complexity increases
Solution Approach 1:
The system uses the user's own eye movements as the control signal for focusing. The gaze point detection device automatically tracks natural eye movements and converts them into focusing commands, eliminating the need for manual focus adjustment or complex interaction interfaces. The system serves itself by using biological signals directly for control.
Solution Approach 2:
The patent replaces traditional mechanical focusing mechanisms (manual focus rings, motorized lens adjustment) with an optical-electrical system that detects eye movements and automatically adjusts focus. This substitution enables rapid, automated focusing response to user intent without mechanical intervention.
3Measurement precision
If fundus image collection is used to detect gaze points, then the measurement accuracy improves, but the need for clear image criteria increases complexity
Solution Approach 1:
The system implements a feedback mechanism where the fundus image collection module continuously captures eye images, the processing module analyzes image clarity, and the lens module adjusts focusing based on clarity criteria. This closed-loop feedback ensures accurate gaze point detection while automatically managing the complexity of image quality assessment.
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
The system achieves high accuracy and rapid focusing, enhancing user experience by determining the gaze point location and adjusting imaging parameters to ensure clear image collection, making it suitable for wearable near-to-eye apparatuses and improving human-computer interaction.
Implementation Method 1
at least one adjustable lens module for adjusting at least one imaging parameter of an optical path between the fundus image collection module and an eye of the user
Data Source
AI summary
Image collection is provided, e.g., a system includes a gaze point detection device for detecting a location of a gaze point of a user with respect to the user, and an image collection device for focusing and collecting a first image according to the location of the gaze point with respect to the user. The gaze point detection device comprises a fundus image collection module for collecting a second image of a fundus of a user, an adjustable lens module for adjusting an imaging parameter of an optical path between the fundus image collection module and an eye and an image processing module for calculating the location of a gaze point of the user with respect to the user according to the imaging parameter. The system and method of the present application can increase the focusing accuracy and the focusing speed of an image collection apparatus.