3D Object Infringement Detection via Virtualized 2D Views
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Solution Overview
Problem
Current systems are unable to effectively analyze three-dimensional objects for protected intellectual property, as they only focus on two-dimensional images, audio, or video files, leaving a gap in detecting infringement in three-dimensional objects.
Innovation Solution
A computer system analyzes three-dimensional objects by creating virtualized representations from multiple angles, generating two-dimensional views, and pattern-matching against databases containing protected subject matter, including alphanumeric text, audio, and video components, to determine infringement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If systems analyze only two-dimensional images, audio, or video files for protected intellectual property, then detection capability for traditional media is improved, but detection capability for three-dimensional objects deteriorates
Solution Approach 1:
The system is designed to handle multiple types of media files (two-dimensional images, audio, video, and three-dimensional object files) using a unified analysis architecture. The computer system can process different file types through the same core detection engine, making the system versatile across various media formats while maintaining consistent detection capabilities.
Solution Approach 2:
The system creates virtual representations of three-dimensional objects from uploaded object files, generating virtual models that can be analyzed similarly to two-dimensional images. This virtual copying approach allows the existing two-dimensional analysis algorithms to be applied to three-dimensional data, extending detection capability without requiring completely new methodologies.
2Measurement precision
If systems create virtualized representations of three-dimensional objects from multiple angles, then detection accuracy of protected subject matter is improved, but processing time and computational complexity increase
Solution Approach 1:
The system performs preliminary processing by generating virtual representations of three-dimensional objects and pre-computing multiple viewing angles before the actual pattern matching occurs. This preliminary action prepares the data in advance, allowing the detection algorithm to work with pre-processed views rather than computing everything in real-time, thus reducing overall processing time.
Solution Approach 2:
The analysis process is divided into separate stages: first creating virtual representations, then generating multiple two-dimensional views from those representations, and finally performing pattern matching on each view independently. This segmentation allows parallel processing of different views and optimizes computational efficiency by breaking down the complex task into manageable segments.
3Reliability
If systems pattern-match three-dimensional objects against databases of protected subject matter, then intellectual property protection effectiveness is improved, but device complexity increases
Solution Approach 1:
The system introduces virtual representations as an intermediary between the uploaded three-dimensional object files and the pattern matching database. Instead of directly comparing complex 3D objects against protected subject matter, the system first converts objects into virtual models, then generates two-dimensional views from these models, and finally performs pattern matching on the views. This intermediary approach simplifies the comparison process while maintaining protection effectiveness.
Solution Approach 2:
The system transforms three-dimensional object data into two-dimensional views for pattern matching purposes. By projecting 3D objects onto 2D planes from multiple angles, the system can utilize existing two-dimensional pattern matching algorithms and databases, reducing the complexity of implementing new three-dimensional matching technology while still achieving comprehensive protection coverage.
Data Source
AI summary
A contemplated system analyzes files used to create 3D objects by first virtually constructing the 3D object, and then by examining the virtual construct in a variety of different ways to determine if the 3D object has protected content. The system could examine the virtualized object from a variety of different angles, read characters embossed or imprinted upon the 3D object, and could even play virtualized records and other virtualized video/audio tools to determine if the 3D object has protected content. If the system rules that the 3D object has a high probability of having protected content, an alert is sent to an appropriate authority.