Face Authentication Occlusion Detection Using Infrared Material Data
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing material detection methods from images require intensive computing resources and may not deliver the required reliability, especially when dealing with complex situations where objects are covered by various unwanted materials.
Innovation Solution
A computer-implemented method that extracts material information of an object from a pattern image by manipulating the image to generate a partial image, which is then provided to a data-driven model trained on partial images and material information, reducing computational requirements and improving reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If filtering techniques are used to detect materials from images, then material detection can be performed, but intensive computing resources are required and reliability is insufficient
Solution Approach 1:
The patent segments the image processing task by first detecting only the relevant object region (face) and then processing only that segment. The method extracts the face region from the full image before applying material detection algorithms, thereby reducing the computational burden while maintaining detection reliability on the critical area.
Solution Approach 2:
The patent extracts material-specific features and regions of interest from the image data. By identifying and isolating the face region and its material characteristics, the system performs material detection only on the relevant portions rather than the entire image, reducing computing resource consumption while maintaining accuracy.
2Reliability
If filtering techniques are used for material detection, then processing can be performed, but the required reliability is not delivered
Solution Approach 1:
The patent divides the complex material detection task into manageable segments: first detecting the face region, then analyzing material properties within that segmented region. This segmentation reduces overall processing complexity while improving reliability by focusing analysis on the relevant face area rather than the entire image.
Solution Approach 2:
The patent performs preliminary actions by first identifying the face region and extracting relevant facial features before conducting material detection. This preliminary segmentation and feature extraction simplifies the subsequent material analysis process, reducing complexity while maintaining high reliability through focused analysis.
3Measurement precision
If complete pattern images are used for material extraction, then more information is available, but computing resources and training data requirements increase
Solution Approach 1:
The patent extracts only the necessary material information from the face region rather than processing the complete pattern image. By taking out and analyzing only the relevant facial material characteristics, the system achieves accurate material identification with reduced computing resource consumption and smaller training data requirements.
Solution Approach 2:
The patent applies partial action by processing only the essential face region and its material properties rather than the complete image. This partial processing approach provides sufficient material information accuracy while significantly reducing computing resource requirements and training data needs compared to full image analysis.
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 method achieves accurate identification and authentication of materials with reduced computational expenses, enabling use on less sophisticated computing resources and preventing spoofing attacks by focusing on material-specific features.
Implementation Method 1
at least one image of the user using a camera located on the device while the user is being illuminated with the flood infrared illumination and/or the patterned infrared illumination
Implementation Method 2
generating infrared pattern image data for the region of interest from the at least one image
Data Source
AI summary
Disclosed herein is a method for authorizing a user of a device to perform at least one operation on the device that requires authentication, including receiving, in response to receiving the unlock request, at least one image of the user using a camera located on the device while the user is being illuminated with the flood infrared illumination and/or the patterned infrared illumination; generating infrared pattern image data for the region of interest from the at least one image; extracting material data from the infrared pattern image data and determining at least one occlusion from material data; and allowing or declining the user to perform at least one operation on the device that requires authentication based on the material data and/or the determined occlusion.