Point Cloud Quality Selection for Easier 3D Processing
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Solution Overview
Problem
Existing point cloud processing software requires significant user expertise and configuration, and manual post-processing is often necessary when automated processing fails, leading to high costs and inefficiencies, especially in As-Build BIM/CIM implementations for existing buildings.
Innovation Solution
A point cloud processing system and method that includes a selection screen for choosing processing qualities, allowing users to select desired processing results, with integrated quality control and automated processing, reducing the need for manual intervention and expertise.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If existing point cloud processing software is used, then point cloud processing can be performed, but the software is complex for users without knowledge or experience, requiring manual effort for post-processing
Solution Approach 1:
The software interface is segmented into simplified quality selection options (e.g., high, medium, low quality presets) that separate the complex processing parameters from the user interaction layer, allowing users to select processing quality without understanding underlying complexity
Solution Approach 2:
Quality presets act as intermediaries between the user and the complex processing engine, translating simple quality selections into appropriate processing parameters automatically, thereby shielding users from software complexity
2Manufacturing precision
If manual post-processing is performed to correct failed quality areas, then processing accuracy can be improved, but time and costs increase
Solution Approach 1:
The system performs preliminary quality assessment and automated correction before final output, anticipating and resolving quality issues in advance rather than requiring subsequent manual post-processing, thereby maintaining precision while reducing time loss
3Productivity
If automated processing is implemented, then productivity increases, but quality control becomes more difficult
Solution Approach 1:
The system incorporates feedback mechanisms that automatically monitor processing quality and adjust parameters in real-time, enabling high-speed automated processing while maintaining consistent quality control through continuous monitoring and self-correction
Data Source
AI summary
A point cloud processing apparatus includes circuitry to generate a selection screen displaying a plurality of options each of which indicates a corresponding one of a plurality of qualities for point cloud processing that is performed on point cloud data representing a three-dimensional point cloud. The circuitry stores, in a memory, a processing result of the point cloud processing performed with one of the plurality of qualities on the point cloud data. The one of the plurality of qualities is a selected one of the plurality of options.


