Object Scanning Coverage Feedback With Coarse 3D Models
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Solution Overview
Problem
Existing scanning systems lack effective feedback mechanisms to assess and utilize sensor data during the scanning process for generating 3D models, leading to incomplete or low-quality reconstructions.
Innovation Solution
Implementing a system that provides live feedback during scanning by assessing sensor data coverage, using a coarse 3D model to determine which portions of an object have been adequately captured, and guiding users to improve data collection through visual and interactive indicators.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If a fine-detail 3D model is generated during the scanning process, then the quality of the final 3D model is improved, but the processing time and computational complexity become too high to complete in real-time
Solution Approach 1:
The patent segments the 3D model representation into two distinct levels: a coarse voxel-based model for real-time processing and display during scanning, and a fine-detail model generated after scanning completes. This segmentation allows the system to maintain real-time responsiveness while ultimately producing high-quality results, resolving the contradiction between model quality and processing time.
Solution Approach 2:
The system performs preliminary action by generating a coarse 3D model during the scanning process that serves as a foundation for the final fine-detail model. This preliminary coarse model allows real-time feedback and coverage assessment, while the actual fine-detail generation is deferred to post-processing, thus resolving the time-quality contradiction.
2Manufacturing precision
If comprehensive sensor data is collected from all angles during scanning, then the coverage and quality of the 3D model is improved, but the scanning time and number of required scans increases
Solution Approach 1:
The patent implements a feedback mechanism that provides real-time coverage information to the user during scanning. The system calculates coverage metrics based on the coarse 3D model and displays this information, enabling users to understand which areas are adequately scanned and which need more attention. This feedback allows users to make informed decisions about when to stop scanning, improving efficiency while maintaining adequate coverage.
Solution Approach 2:
The system employs partial action by determining when sufficient coverage has been achieved rather than requiring complete exhaustive scanning of all possible angles. The coverage assessment identifies when additional scanning would provide diminishing returns, allowing the process to stop at an optimal point that balances coverage quality with scanning efficiency.
3Manufacturing precision
If real-time feedback during scanning is provided, then the user can improve data collection quality, but the computational load and system complexity increases
Solution Approach 1:
The patent applies local quality by providing differentiated feedback based on specific regions of the object being scanned. Rather than uniform processing, the system identifies areas with inadequate coverage and provides targeted feedback for those specific regions. The coarse 3D model uses local voxel representations that can be efficiently updated and assessed, reducing overall computational load while maintaining data collection quality.
Solution Approach 2:
The system uses a disposable coarse 3D model during the scanning process that is computationally inexpensive to generate and update in real-time. This coarse model serves its purpose during scanning for feedback and coverage assessment, then is replaced by the final fine-detail model after scanning completes. This approach reduces system complexity during the scanning phase while still enabling real-time feedback.
Data Source
AI summary
Various implementations disclosed herein provide feedback to a user during object scanning based on how well sensor data of the scanned object has been captured. During object scanning a user may move an electronic device with sensors (e.g., cameras, depth sensors, etc.) around an object to capture sensor data for use in generating a final 3D model of the object. Live feedback during the scanning process is enabled by assessing how well the captured sensor data represents different portions of the object. In some implementations, a 3D model is generated, updated, and assessed based on the sensor data live during the scanning process. This live 3D model may be coarser (i.e., having fewer details) than the final 3D model.