Face Recognition Eye Detection for Mobile Terminals
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Solution Overview
Problem
Conventional face recognition technologies in mobile terminals fail to accurately detect eye positions when the face is obscured or partially captured, leading to incorrect recognition and operational issues, especially under varying illumination conditions.
Innovation Solution
A method for controlling a mobile terminal based on analysis of a user's face, which includes performing face recognition and eye detection using algorithms that identify facial contours, skin color, and texture, and compensating for partial face detection by using mirroring and template matching techniques to enhance detection accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional face recognition technologies are used to detect facial components, then face recognition can be performed, but detection accuracy deteriorates when the face is obscured or partially captured
Solution Approach 1:
The face detection process is divided into multiple independent detection modules for different facial components (eyes, mouth, jaw, eyebrows). Each module operates independently and can detect its specific component even when other parts of the face are obscured, allowing the system to maintain reliability by detecting available features without requiring complete face visibility
Solution Approach 2:
The system performs partial face detection by identifying only the visible facial components in each detected region, rather than requiring complete face detection. When part of the face is captured, the system detects and processes only that partial region, which is sufficient for the intended function while avoiding the need for full face visibility
2Reliability
If face detection is performed using conventional methods, then facial components can be identified, but detection accuracy deteriorates under varying illumination conditions
Solution Approach 1:
The detection system applies different detection strategies and parameters to different regions of the face based on their specific characteristics and illumination conditions. Each facial component region can be processed with optimized local detection parameters that adapt to the specific illumination and visibility conditions of that region, improving overall detection reliability under varying lighting
3Ease of operation
If conventional face recognition is used, then basic face detection can be performed, but the system cannot provide intuitive control without direct user input
Solution Approach 1:
The mobile terminal uses the detected facial information and eye movement data to automatically control its own functions without requiring direct user input through keypads or touchscreens. The system serves itself by translating facial expressions and eye movements into control signals for various terminal functions, enabling intuitive automated control
Data Source
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AI summary
An apparatus and method of controlling a mobile terminal by detecting a face or an eye in an input image are provided. The method includes performing face recognition on an input image facing and being captured by an image input unit equipped on the front face of the mobile terminal; determining, based on the face recognition, user state information that includes whether a user exists, a direction of the user's face, a distance from the mobile terminal, and/or a position of the user's face; and performing a predetermined function of the mobile terminal according to the user state information. According to the method, functions of the mobile terminal may be controlled without direct inputs from the user.