Masquerading Detection via Projected Pattern Distortion
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Solution Overview
Problem
Conventional masquerading detection devices face challenges in achieving stable and precise detection, impose a heavy burden on the person being photographed, require expensive equipment, and have complex processing requirements, leading to inefficiencies and increased costs.
Innovation Solution
A masquerading detection device that uses a light emitter with a filter to project a pattern onto a target, compares the projected pattern with the target's image data to determine if it has a plane or solid configuration, employing features like filter rotation, pattern switching, and distance sensing to enhance precision and prevent image manipulation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If strong lighting is used to obtain enough edge from an image for silhouette measurement, then masquerading detection precision is improved, but the burden on the person to be photographed increases
Solution Approach 1:
The patent replaces the mechanical/optical measurement system (silhouette edge detection requiring strong lateral lighting) with a projection-based optical system. A projection unit projects a predetermined pattern (e.g., striped pattern) onto the face, and an image pickup unit captures the reflected light. This substitution eliminates the need for strong lateral lighting while achieving precise 3D configuration measurement through pattern distortion analysis.
2Measurement precision
If three-dimensional configuration measurement is implemented for precise masquerading detection, then detection precision is improved, but device complexity and cost increase
Solution Approach 1:
The patent uses a 2D projected pattern as a copy/reference that is superimposed onto the 3D face. By comparing the projected pattern with the captured image data, the system infers 3D configuration information without requiring complex 3D scanning hardware. The pattern acts as a reference copy that reveals depth information through its distortion on the facial surface.
3Ease of manufacture
If conventional silhouette measurement is used, then device cost is reduced, but masquerading detection precision deteriorates
Solution Approach 1:
The patent changes the measurement parameter from 2D silhouette edge detection to 3D configuration analysis through projected pattern distortion. By projecting a known pattern and analyzing how it deforms on the facial surface, the system extracts depth and curvature information that silhouette measurement cannot provide, thereby improving detection precision while maintaining relatively simple device architecture.
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 device enables stable and precise masquerading detection without burdening the person being photographed, reduces equipment costs, and simplifies processing, effectively distinguishing between genuine and false identities using a combination of image analysis and physical measurements.
Implementation Method 1
a light emitter (e.g. a lamp that a light with a filter 22 has) which irradiates light to a target, as well as projecting a predetermined pattern onto the target
Implementation Method 2
a filter (e.g. a filter that the light with a filter 22 has) which transmits light emitted by the light emitter disposed in the vicinity of a light source of the light emitter
Data Source
AI summary
In masquerading determination processing, a masquerading determination unit reads image data representing an image of an identification target on which a striped pattern is projected from an image storage unit to extract the striped pattern appearing in a face region of the image represented by the read image data. Subsequently, the masquerading determination unit determines whether a stripe in the face region in the image is a straight line or not. When the stripe is a straight line, because the identification target is a plane object such as a photograph or an image display device so that it can be determined that the target is at least not a person himself, the masquerading determination unit determines that the target masquerades. On the other hand, unless the stripe is a straight line, because the identification target has a solid configuration having three-dimensional irregularities to have a possibility of being a person himself, the unit determines that the target might not masquerade.