Image Authenticity Verification Using Same-Axis 3D Comparison
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Solution Overview
Problem
Existing image authentication methods fail to accurately detect false images generated through trick shooting due to inconsistencies in focal length and subject unevenness, and may misinterpret distance measurement data.
Innovation Solution
An image processing apparatus and method that acquires both an image and 3D information on the same optical axis, generating a signature based on the image and 3D data to confirm authenticity by comparing the image's unevenness with the 3D information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If only focal length consistency is determined, then the verification process is simple, but the ability to detect false images generated by trick shooting is insufficient
Solution Approach 1:
The patent combines multiple verification parameters (focal length consistency, subject unevenness, and distance measurement data) into a unified verification process. The image processing apparatus integrates these different types of information to comprehensively determine image authenticity, resolving the contradiction by merging simple focal length checks with more complex multi-parameter analysis to achieve higher detection accuracy.
Solution Approach 2:
The patent introduces a new dimension of verification by incorporating 3D spatial information and subject unevenness characteristics alongside traditional 2D image analysis. This dimensional expansion allows the system to detect trick shooting that would not be apparent through focal length alone, improving reliability without overwhelming complexity.
2Reliability
If only subject plane determination is performed, then the process is simple, but consistency of subject unevenness cannot be confirmed
Solution Approach 1:
The patent segments the subject analysis into multiple independent verification components: focal length verification, subject unevenness analysis, and distance measurement validation. Each component can be processed separately and then integrated, allowing the system to confirm subject unevenness consistency without requiring a single complex analysis process.
Solution Approach 2:
The patent uses distance measurement data as an intermediary element that bridges the image content and the physical scene characteristics. This intermediary allows the system to verify subject unevenness consistency by comparing 2D image information with 3D spatial measurements, adding reliability without directly analyzing complex subject geometries.
3Measurement precision
If distance measurement data is used without optical axis alignment, then the process is simple, but the subject identification may be inaccurate
Solution Approach 1:
The patent implements feedback by using the determined optical axis direction to verify and correct distance measurement data. The system continuously checks whether the measured distances correspond to the expected spatial relationships based on the optical axis, allowing for accurate subject identification while managing complexity through iterative verification.
Solution Approach 2:
The patent performs preliminary determination of the optical axis direction before using distance measurement data for subject identification. This preliminary action establishes the reference frame needed for accurate 3D spatial analysis, ensuring that subsequent distance measurements can be correctly interpreted without requiring complex real-time alignment adjustments.
Data Source
AI summary
Image processing with accurate authenticity determination for images is disclosed. In one example, an image of a subject is acquired by capturing an optical image from the subject, 3D information is acquired from the optical image on the same optical axis as the image, and a signature of the image and the 3D information is generated. Furthermore, by comparing the image with the 3D information acquired on the same optical axis as the image, authenticity of the image is confirmed. The present disclosure can be applied to, for example, an image processing apparatus, an image processing method, or the like.