Same-Axis 3D Image Verification for Authenticity Detection
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Solution Overview
Problem
Existing image authentication methods, such as those based on focal length consistency and plane determination, are inadequate for accurately detecting false images generated through trick shooting, as they fail to confirm subject unevenness and ensure matching between image and 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 from the image and 3D information to confirm authenticity by comparing the image with the 3D information, thereby detecting false images based on subject unevenness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If only focal length consistency is determined, then the verification process is simple, but the accuracy of false image detection is insufficient
Solution Approach 1:
The patent transitions from two-dimensional image data to three-dimensional spatial information by incorporating depth maps and 3D point cloud data. This adds a new dimension of verification that captures subject unevenness and spatial relationships, enabling accurate detection of false images while maintaining operational simplicity through automated multi-parameter verification.
2Device complexity
If only plane determination is performed, then the processing is straightforward, but subject unevenness consistency cannot be confirmed
Solution Approach 1:
The patent segments the verification process into multiple independent modules: focal length verification, subject plane determination, and subject unevenness verification using 3D point cloud data. Each module processes specific aspects of image authenticity separately, making the overall system more reliable while keeping individual processing steps straightforward and manageable.
3Adaptability or versatility
If distance measurement data is used without optical axis matching, then the detection range is broad, but the accuracy of subject matching is reduced
Solution Approach 1:
The patent applies local quality verification by matching 3D point cloud data with the specific local region captured in the image. Instead of using general distance measurement data, the system verifies that the 3D information corresponds to the exact spatial location and subject in the image, ensuring high matching accuracy while maintaining broad detection capability through automated verification.
Data Source
AI summary
The present disclosure relates to an image processing apparatus and method capable of more accurately determining authenticity of an image.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.