Self-photographing Control Using Eye State Detection
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Solution Overview
Problem
In multi-person selfies, accidental photographing occurs when one person blinks, leading to a poor self-photographing experience due to the reliance on eye blinks for triggering the camera.
Innovation Solution
A self-photographing control method that selects a human eye as the main eye for controlling photographing, using image processing techniques such as integral and differential projection methods to determine the eye's center position and state, and triggers the camera only when the eye meets specific conditions like prolonged closure or repeated blinking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If eye blink detection is used to trigger photographing, then self-photographing can be realized, but false triggers occur in multi-person selfies when one person blinks
Solution Approach 1:
The patent segments the detection process by first identifying multiple face regions in the image, then isolating eye regions within each face, and finally selecting a target eye for control. This segmentation allows the system to distinguish between different persons' eyes and prevent false triggers from other individuals' blinks.
Solution Approach 2:
The patent implements feedback mechanisms through continuous monitoring of eye state changes and using historical action data to verify whether detected blinks represent intentional photographing commands. The system feedbacks on detection results to confirm whether the detected eye belongs to the intended subject before triggering photographing.
2Adaptability or versatility
If multiple human eyes are detected in the image, then all eyes can be processed, but the complexity of determining which eye to use for control increases
Solution Approach 1:
The patent applies local quality by assigning different processing priorities to different eye regions based on their characteristics. The target eye selection process evaluates local features such as face size, eye position, and action history to determine which eye should control photographing, rather than treating all eyes equally.
Solution Approach 2:
The system uses self-service mechanisms where the eye detection and selection process automatically identifies the most appropriate target eye without requiring manual intervention. The algorithm autonomously evaluates multiple eyes and selects the optimal one based on predefined criteria, making the complex selection process transparent to the user.
Data Source
AI summary
A self-photographing control method, a self-photographing control device and an electronic device are provided. The self-photographing control method includes the steps of acquiring a first original image, selecting a human eye from the first original image as a main eye for controlling photographing, acquiring an action of the main eye, and triggering a photographing operation if the action of the main eye meets a set condition.