3D Scan Data Splicing After Planar Interference Removal
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Solution Overview
Problem
Scanning objects placed on a flat surface results in significant planar data interference, leading to mis-splicing and difficulty in aligning and splicing 3D data, especially for small objects, which affects processing efficiency and accuracy.
Innovation Solution
A method that identifies and removes planar data from raw scanned data, extracts non-planar target data, and performs splicing using surface features to ensure accurate alignment and splicing without the need for additional markers, utilizing techniques like feature extraction and iterative closest point (ICP) algorithms for optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If planar surface scanning is performed on objects placed on a flat surface, then scanning coverage is improved, but splicing accuracy deteriorates due to planar data interference
Solution Approach 1:
The patent extracts and removes planar data from the scanned data before performing splicing operations. The system identifies planar regions in the point cloud data and selectively eliminates them, retaining only non-planar surface data for alignment and splicing. This extraction process resolves the contradiction by removing the harmful planar interference while preserving the beneficial scanning coverage of the flat surface placement method.
2Measurement precision
If additional markers are added to improve splicing accuracy, then alignment precision is improved, but device complexity increases
Solution Approach 1:
The patent enables the scanned object itself to provide the necessary alignment features through its inherent non-planar surface geometry. By extracting and utilizing the object's own surface features (such as curves, edges, and irregularities) as splicing references, the system achieves high alignment precision without requiring external markers or additional positioning devices. This self-service approach resolves the contradiction by making the object's own characteristics sufficient for precise splicing.
3Quantity of substance
If all raw scanned data is used for splicing, then data completeness is improved, but splicing reliability deteriorates due to planar data interference
Solution Approach 1:
The patent applies different quality criteria to different regions of the scanned data. Instead of uniformly processing all data, the system identifies and distinguishes between planar regions (which are harmful for splicing) and non-planar regions (which are beneficial). By selectively processing only the non-planar portions with appropriate splicing algorithms, the system maintains data completeness for reconstruction purposes while ensuring splicing reliability through localized quality filtering.
Data Source
AI summary
The present application relates to a scanned data processing method, an apparatus, a device, and a medium. The method includes obtaining raw scanned data by scanning a current scanning area of a target object, acquiring non-planar target scanned data from the raw scanned data, and performing splicing on the target scanned data with historical scanned data and obtaining target spliced data. The present application may ensure smoothness and accuracy of the splicing.