Scanning Image Rendering With Real-Time Surface Quality Feedback
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing scanning technologies struggle with poor image quality due to insufficient frame acquisition, as users cannot determine which regions require additional scanning, leading to suboptimal model surfaces.
Innovation Solution
A method and apparatus for rendering scanning images that involve updating control points in a fusion field based on point clouds, determining display point weights and colors, and rendering these points to improve image quality in real-time, prompting users to enhance scanning in necessary regions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If the number of frames of scanning image is increased to improve surface quality, then the quality of model obtained by post-processing is improved, but the scanning time and processing complexity increase
Solution Approach 1:
The patent implements real-time feedback by rendering scanning images with quality assessment during the scanning process. The system evaluates surface quality metrics (completeness, smoothness, detail) and provides immediate feedback to guide users on which regions need additional scanning frames, enabling intelligent frame acquisition without unnecessary time consumption
Solution Approach 2:
The system performs preliminary quality assessment during scanning to predict which regions will require additional frames. By evaluating surface quality metrics in real-time, the system can proactively identify poor quality regions and prompt users to scan those areas again, rather than completing the entire scan and then discovering quality issues
2Speed
If real-time scanning is performed to acquire single-frame data, then the scanning speed is improved, but the surface quality of the obtained model deteriorates due to insufficient frame acquisition
Solution Approach 1:
The system provides real-time feedback on surface quality during scanning, allowing users to understand the current quality level and which regions need additional frames. This feedback mechanism enables users to make informed decisions about where to allocate additional scanning effort, maintaining high scanning speed while ensuring quality through targeted frame acquisition
Solution Approach 2:
The scanning process becomes dynamic and adaptive rather than static. The system adjusts the scanning process based on real-time quality assessment, allowing users to interactively add frames to specific regions where quality is insufficient. This dynamic approach maintains speed by avoiding unnecessary frames in already-quality regions while ensuring adequate coverage where needed
3Reliability
If users scan all regions uniformly to ensure coverage, then the completeness of scanning is improved, but the efficiency of frame acquisition deteriorates due to unnecessary scanning
Solution Approach 1:
The system applies local quality assessment to evaluate different regions of the scanned object individually. Instead of uniform scanning, the system identifies specific regions with poor surface quality (low completeness, smoothness, or detail metrics) and targets those areas for additional scanning frames. This local化的 approach ensures completeness where needed while improving overall efficiency by avoiding redundant scanning in already-quality regions
Solution Approach 2:
Real-time feedback on surface quality metrics provides users with actionable information about which regions need additional scanning. The system calculates quality scores for different regions and presents this information to guide users' scanning efforts, ensuring that frames are acquired efficiently in regions where they are most needed rather than uniformly across the entire object
Data Source
AI summary
A method and apparatus for rendering scanning image, and an electronic device and a storage medium are provided. The method includes: acquiring a current frame scanning image; updating information of all control points in a fusion field according to a point cloud corresponding to the current frame scanning image, to obtain a target fusion field; acquiring a display point cloud and weight of each display point in the display point cloud from the target fusion field, and based on the weight of each display point in the display point cloud, determining each display point and a rendering color of a region in which each display point is located; and rendering the display point cloud based on the rendering color, to obtain and display a rendering result.