Face Identification Liveness Detection via Structured Light Depth Models
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Solution Overview
Problem
Existing face identification technologies are insecure and unreliable as they can be bypassed using photos, lacking effective liveness detection, which compromises the security and reliability of identity verification processes.
Innovation Solution
Implementing a method that performs liveness detection using structured light depth models before verifying the identity, ensuring that only living beings can authenticate, thereby preventing artificial article usage and enhancing security and reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional face identification is used without liveness detection, then the identification process is simple and fast, but the security and reliability are compromised due to vulnerability to photo-based attacks
Solution Approach 1:
The patent applies preliminary action by performing liveness detection before face identification. The system first captures images, then conducts liveness detection to verify the subject is a living person, and only after successful liveness verification does it proceed to face identification. This sequential approach ensures security is established beforehand, preventing photo-based attacks while maintaining a clear process structure.
Solution Approach 2:
The patent segments the identification system into distinct functional modules: an image acquisition module for capturing images, a liveness detection module for verifying subject authenticity, and a face identification module for recognizing identity. This segmentation allows each module to specialize in its function, improving overall reliability while making the system more manageable and maintainable despite the increased complexity.
2Measurement precision
If liveness detection is implemented using structured light depth models, then the accuracy of detecting living beings is improved, but the device complexity and computational requirements increase
Solution Approach 1:
The patent uses structured light as an intermediary to enable liveness detection. A structured light projector emits patterned light that reflects off the subject's face, and a depth sensor captures the reflected patterns. This intermediary structured light system creates depth maps that reveal three-dimensional facial structures, providing high-precision liveness detection by detecting subtle depth variations that distinguish living faces from photos, while keeping the hardware architecture modular and manageable.
Data Source
AI summary
A method and device for face identification, and a mobile terminal and a storage medium are provided. The method includes: (101) an image sensor is controlled to perform imaging; (102) imaging data obtained by the image sensor through the imaging is acquired; and (103) liveness detection is performed on an imaging object based on the imaging data.