Wide-Angle Camera Subject Distortion Analysis for Spoofing Detection

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Solution Overview

Problem

Existing face recognition technologies struggle to accurately differentiate between real faces and spoofed faces, particularly when using two-dimensional images like face photographs.

Innovation Solution

An information processing apparatus that specifies distortion in a subject's image based on position and direction information, and identifies the subject's shape from this distortion, using a wide-angle camera to capture images that highlight the differences in wide-angle distortion between real faces and plane-projected faces.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If face recognition is performed using conventional two-dimensional image processing, then the recognition process is simple and fast, but the accuracy is insufficient and spoofing cannot be prevented

Engineering Contradiction:
Improvesubject recognition accuracyVSAvoidimage processing complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent transitions from two-dimensional image processing to three-dimensional shape analysis by specifying distortion based on position information and direction information. This dimensional change enables accurate differentiation between real faces and spoofed faces by analyzing the three-dimensional characteristics of facial features.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

Solution Approach 2:

The patent changes the processing parameters from conventional two-dimensional coordinates to three-dimensional distortion parameters. By specifying distortion using position information (x, y coordinates) and direction information (angular information), the system achieves more accurate subject recognition while maintaining computational feasibility.

Inventive Principle:
Principle #35Parameter changes

2Reliability

If a wide-angle camera is used to capture images for distortion analysis, then the ability to detect spoofing is improved, but the image distortion increases

Engineering Contradiction:
Improvespoofing detection reliabilityVSAvoidimage geometric accuracy
Core Design Contradiction:
ReliabilityVSMeasurement precision

Solution Approach 1:

The patent converts the harmful effect of wide-angle distortion into a beneficial feature for spoofing detection. By analyzing the distortion patterns created by the wide-angle camera, the system can differentiate between real faces and spoofed faces, as the distortion characteristics differ between genuine three-dimensional faces and two-dimensional representations.

Inventive Principle:
Principle #22Blessing in disguise (Convert harm into benefit)

Solution Approach 2:

The patent changes the approach from correcting wide-angle distortion to utilizing it as a detection feature. By specifying distortion based on position and direction information, the system transforms the geometric inaccuracy into a reliable indicator for identifying spoofed subjects.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS12307810B2Information processing apparatus, information processing method, and information processing system
Publication Date: 2025.05.20 SONY SEMICON SOLUTIONS CORP
  • US12307810B2 patent drawing
  • US12307810B2 patent drawing
  • US12307810B2 patent drawing

AI summary

Provided is an information processing apparatus, an information processing method, and an information processing system that can more accurately recognize a subject. The information processing apparatus includes a processing unit that specifies a distortion of a subject on the basis of position information indicating a position of the subject included in a captured image and direction information indicating a direction of the subject, and identifies a shape of the subject on the basis of the specified distortion of the subject.