3D Image Authentication via Sensor Displacement Consistency

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Solution Overview

Problem

Existing methods for capturing three-dimensional entity images lack authentication, making it difficult to verify if the image was taken by positioning the optical sensor opposite the actual three-dimensional object, as there is no consistency between apparent and real displacements.

Innovation Solution

A method that authenticates three-dimensional entity image captures by checking the consistency between apparent displacement calculated from captured images and real displacement estimated using sensors, generating an authentication indicator based on this coherence, and using this authentication to ensure the image was captured by moving the optical sensor around a real three-dimensional feature.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If image capture authentication is implemented by comparing apparent and real displacements, then image authenticity is improved, but device complexity increases due to requiring multiple sensors and processing operations

Engineering Contradiction:
Improveimage authenticityVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent makes the optical sensor perform multiple functions: capturing images for authentication and capturing images for identification. By reusing the same sensor for both purposes, the patent reduces device complexity while maintaining reliability improvements from the authentication process

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system uses its own captured images and embedded sensors to perform self-authentication. The image capture device uses its internal sensors (accelerometer, gyroscope) to verify the authenticity of its own captures, eliminating the need for external authentication hardware

Inventive Principle:
Principle #25Self-service

2Measurement precision

If multiple sensors are used for displacement measurement, then measurement precision is improved, but device complexity increases

Engineering Contradiction:
Improvedisplacement measurement precisionVSAvoidsensor quantity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent combines data from multiple sensors (optical sensor, accelerometer, gyroscope) to achieve precise displacement measurement. By merging the functionality of these sensors into a coordinated system, the patent achieves high measurement precision while managing device complexity through integrated processing

Inventive Principle:
Principle #5Merging (Combining)

3Reliability

If authentication processing is performed on captured images, then identification reliability is improved, but processing time increases

Engineering Contradiction:
Improveidentification reliabilityVSAvoidprocessing time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The patent performs authentication processing as a preliminary step before identification. By authenticating the image capture first (verifying apparent vs real displacement consistency), the system ensures subsequent identification operations are performed on genuine images, improving overall reliability while managing processing time through structured workflow

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentEP2909787B1Process for authentifying a capture of an image of a tridimensional entity
Publication Date: 2019.07.31 IDEMIA IDENTITY & SECURITY FRANCE SAS
  • EP2909787B1 patent drawingFigure 1~3
  • EP2909787B1 patent drawingFigure 4

AI summary

The invention relates to a method for authenticating an image capture (ic) of a three-dimensional entity (X), including the steps of: producing a series (S) of images (ia, ib, ic, id, ie) of the entity (X) using an optical sensor (1); associating each image (ia, ib, ic, id, ie) with a data item (Pa, Pb, Pc, Pd, Pe) that is representative of the position of the sensor (1) at the moment when same generated said image; and determining a consistency between two images of the series, by verifying a consistency between: an apparent movement of the optical sensor (2) determined by comparing visible characteristic points on said two images; and an estimated actual movement of the optical sensor determined by comparing the data representative of the positions in the space of the optical sensor (1) at the moments when same generated said two images.