Interactive 3D Scene Re-Scanning With Change Review
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Solution Overview
Problem
Existing 3D scanning solutions lack the ability to effectively highlight and annotate changes in a scene, requiring manual intervention for updating or extending 3D models without user control over insertion or removal of new faces, leading to incomplete or inaccurate reconstructions.
Innovation Solution
A method and device for change detection in 3D scanning that allows users to interactively modify 3D models by highlighting differences between a reference model and a scanned scene, enabling users to decide on keeping or removing detected changes through a change detection mode, and optionally maintaining a database of removed objects for precise updates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated 3D scanning completion is used, then scanning efficiency is improved, but user control over insertion or removal of faces is lost
Solution Approach 1:
The system provides feedback to the user by highlighting detected changes (insertions and removals) in the 3D model through visual indicators. This allows users to see what changes were automatically detected and gives them the opportunity to review and confirm or reject each change, thus maintaining user control while preserving scanning efficiency.
Solution Approach 2:
The system dynamically adjusts the completion process based on user interaction. It starts with automated completion for efficiency, then transitions to a review mode where users can interact with highlighted changes. The system adapts its behavior based on user responses, allowing flexible control over the final model while maintaining high scanning productivity.
2Speed
If changes are automatically detected and applied, then model update speed is improved, but accuracy of reconstruction is worsened
Solution Approach 1:
The system automatically detects changes and presents them to the user with visual highlighting, allowing rapid review and confirmation. This feedback mechanism enables the system to maintain high update speed while ensuring accuracy by allowing users to verify and correct detected changes before they are permanently applied to the model.
Solution Approach 2:
The system performs preliminary detection of changes automatically and presents them for review before final application. This preliminary action allows the system to maintain speed by doing the heavy lifting of change detection automatically, while accuracy is ensured through the subsequent review step where users can confirm or correct the detected changes.
3Manufacturing precision
If manual review of all changes is required, then reconstruction accuracy is improved, but time consumption increases
Solution Approach 1:
The system provides targeted feedback by highlighting only the detected changes (insertions and removals) rather than requiring review of the entire model. This allows users to quickly review only the relevant portions that have changed, maintaining high accuracy through manual verification while minimizing time consumption by avoiding review of unchanged areas.
Solution Approach 2:
The system applies local quality review by focusing user attention only on specific regions where changes were detected. Instead of requiring comprehensive manual review of the entire 3D model, the system highlights only the local areas with insertions or removals, allowing users to verify accuracy efficiently in only the necessary regions.
4Stability of the object's composition
If existing faces are kept even for removed objects, then model stability is improved, but completeness of reconstruction is worsened
Solution Approach 1:
The system provides feedback to users about detected removals and insertions, allowing them to make informed decisions about which faces to keep and which to remove. This feedback mechanism enables the system to maintain stability by preserving important existing faces while improving completeness by allowing removal of actually removed objects, with the user having final control over the balance between stability and completeness.
Solution Approach 2:
The system dynamically adjusts the model composition based on user feedback. It starts with a stable base model and then selectively adds or removes faces based on detected changes and user confirmation. This dynamic adjustment allows the system to balance stability and completeness by only modifying the model in ways that users have explicitly confirmed are necessary.
Data Source
AI summary
Methods, device are provided to re-scan a 3D scene in which changes occurred. A 3D model of the 3D scene is obtained, and a scanning device is localized in the 3D scene. The scanning device starts to scan the 3D scene. Differences between the scanned parts of the 3D scene and the 3D model are detected and highlighted on a view displayed to a user. Options are provided to the user to modify the 3D model by adding new detected objects, removing detecting absent objects or ignoring the changes. The 3D model is updated accordingly and a new part of the 3D scene is scanned.