Face Authentication Head-Shaking Detection Using 3D Asymmetry
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Solution Overview
Problem
Face authentication systems that rely on body motion recognition, such as head-shaking, experience accuracy deterioration when the user is at a distance from the camera, as existing methods struggle to accurately identify these movements from a distance.
Innovation Solution
A system that captures a series of images of a human face, determines characteristic points, calculates asymmetry values based on these points, and identifies head-shaking movements by analyzing the asymmetry values over time, using thresholds to confirm the movement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If face authentication uses body motion recognition (e.g., head-shaking), then fraud prevention capability is improved, but identification accuracy deteriorates when the user is at a distance from the camera
Solution Approach 1:
The patent transitions from analyzing two-dimensional image data to utilizing three-dimensional depth information. By incorporating depth maps and calculating three-dimensional distances between characteristic points on the face, the system gains an additional spatial dimension for motion analysis. This dimensional enhancement allows accurate head-shaking detection even at distances, resolving the contradiction between fraud prevention reliability and motion identification accuracy.
Solution Approach 2:
The patent changes the measurement parameters from simple two-dimensional pixel coordinates to three-dimensional spatial coordinates with depth components. By calculating actual physical distances between facial landmarks in 3D space and comparing them across image sequences, the system maintains measurement precision regardless of camera distance. This parameter transformation enables accurate motion recognition while preserving fraud prevention capabilities.
2Ease of operation
If the user stays relatively far away from the camera, then ease of operation is improved, but the accuracy of identifying body motion deteriorates sharply
Solution Approach 1:
The system incorporates depth mapping technology to add a third dimension to facial image analysis. By calculating three-dimensional positions of characteristic points and measuring actual spatial distances between them, the system can accurately detect head-shaking motions regardless of the user's distance from the camera. This dimensional enhancement maintains measurement precision while improving ease of operation.
Solution Approach 2:
The patent introduces depth information as an intermediary element between the two-dimensional image data and the motion analysis process. The depth map serves as a mediator that provides scale and spatial context, enabling accurate distance measurements between facial landmarks. This intermediary depth data allows the system to maintain high measurement precision even when users are positioned at varying distances from the camera.
Data Source
AI summary
A method for identifying a body motion includes receiving a series of images including a visual presentation of a human face from the image capture device. The series of images may form an image sequence. Each of the series of images may have a previous image or a next image in the image sequence. The method also includes, for each of the series of images, determining a plurality of characteristic points on the human face, determining positions of the plurality of characteristic points on the human face, and determining an asymmetry value based on the positions of the plurality of characteristic points. The method further includes identifying a head-shaking movement of the human face based on the asymmetry values of the series of images.