3D Model Creation Using Pre-Existing Library Templates
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Solution Overview
Problem
Conventional methods for creating 3D models are time-consuming and costly, especially for real-time applications, as they require manual intervention for cleanup and correction of artifacts in semi-automatic scanning methods, and result in dense point clouds unsuitable for real-time rendering.
Innovation Solution
A system and method that automatically acquire photographic images of a reference object using a device with multiple cameras and light sources, and a processing device that searches for similar preexisting 3D models in a library, adapts them, and saves the new model, reducing the need for manual cleanup and correction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If semi-automatic scanning methods (scanners or laser pens) are used to create 3D models, then the spatial position detection capability is improved, but the point cloud density becomes excessively high and requires additional manual cleanup intervention
Solution Approach 1:
The patent uses a library of pre-existing 3D models as templates to copy and adapt for new objects. Instead of creating dense point clouds from scratch through scanning, the system finds similar existing models and adapts them, eliminating the need for manual cleanup of dense scan data while maintaining spatial accuracy.
Solution Approach 2:
The system performs preliminary actions by pre-processing and storing reference 3D models in a library before actual modeling is needed. When a new object needs to be modeled, the system retrieves and adapts pre-prepared models rather than performing full scanning and cleanup operations, significantly reducing processing time.
2Manufacturing precision
If manual 3D modeling by expert graphics technicians is used, then the graphical quality and faithfulness to reference object is improved, but the time and cost required increases significantly
Solution Approach 1:
The system copies proven high-quality 3D models from a reference library that were previously created by experts. By finding similar pre-existing models and adapting them, the system inherits their high graphical quality without requiring expert manual intervention for each new model, dramatically reducing both time and cost.
Solution Approach 2:
The system performs self-service by automatically finding, selecting, and adapting suitable 3D models from its library without requiring expert graphics technicians. The automated adaptation process maintains high quality standards while eliminating the need for manual expert labor in each modeling instance.
3Extent of automation
If semi-automatic methods with point interpolation from photograph sequences are used, then the automation level is improved, but artifacts and inaccuracies are introduced requiring manual correction
Solution Approach 1:
Instead of performing automated point interpolation that introduces artifacts, the system copies accurate geometric data from pre-validated 3D models in its library. This approach maintains high reliability by using proven accurate source models rather than generating new data through error-prone interpolation processes.
Solution Approach 2:
The system uses pre-existing 3D models as intermediaries between the input photographs and the final output model. Rather than directly interpolating points from photographs (which creates artifacts), the system uses reference models as a mediating layer to produce accurate results without the interpolation errors.
4Manufacturing precision
If dense point clouds are generated from scanning or interpolation, then the detail level is improved, but the suitability for real-time rendering is worsened
Solution Approach 1:
The system copies optimized 3D models from its library that are already suited for real-time rendering. These pre-existing models have appropriate detail levels and optimization characteristics, eliminating the need to generate and then reduce dense point clouds, thus maintaining both detail quality and rendering performance.
Data Source
AI summary
A system for creating three-dimensional models includes a processing device operated by a user, having a control unit, a storage unit for storing photographic images, and a storage unit for storing 3D models. The system further includes a device for acquiring photographic images of a reference solid object. The processing device and the acquisition device are mutually connected and in communication. The processing device is configured to create a 3D model that corresponds to the reference solid object based on the photographic images of the reference solid object, which are acquired by the acquisition device and saved in the photographic image storage unit.