Three dimensional perceptual hash
WO2025190601A1PCT designated stage Publication Date: 2025-09-18SIEMENS AG
Patent Information
- Application Number
- PCT/EP2025/053979
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- Priority Date
- 2024-03-12
- Filing Date
- 2025-02-14
- Publication Date
- 2025-09-18
AI Technical Summary
Technical Problem
Existing methods for generating 3D model hashes are not robust against rotations, scaling, and require high computation and storage, with high false-positive rates and collision probabilities, limiting their effectiveness in decentralized ecosystems.
Method used
A geometry-based approach using concentric spheres to generate a 3D perceptual hash, capturing geometric features through intersection points and normal vectors, resulting in a compact hash resistant to tampering and easy verification.
Benefits of technology
The method provides a robust, data-independent 3D hash that is resistant to rotations and scaling, with low computation and storage requirements, enabling efficient verification and authentication of 3D models.
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Smart Images
Figure EP2025053979_18092025_PF_FP_ABST
Abstract
Methods and systems for efficiently generating and verifying 3D perceptual hashes of 3D models are provided. Embodiments include providing a 3D model of an object, the 3D model including a plurality of mesh vertices; finding a minimal bounding sphere substantially enclosing the plurality of mesh vertices and having a center corresponding to the center of mass of the object; calculating, based on the minimal bounding sphere, one or more sub-spheres concentric with the minimal bounding sphere and evenly distributed inside the minimal bounding sphere. Further, for each sphere: projecting one or more normal vectors from the center of the sphere to one or more object faces intersecting the sphere; calculating, based on the one or more normal vectors, one or more first distances from the center of the sphere to the one or more object faces; extending the one or more normal vectors up to a radius of the sphere to project the one or more normal vectors as one or more dome points on the sphere; calculating one or more second distances between the one or more dome points; and then mapping the one or more first and second distances corresponding to all spheres to a hash space to generate a 3D perceptual hash value of the 3D model.
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Citation Information
Patent Citations
Method and apparatus for generating shape descriptor of a model
EP2852918B1