Scanned Data Processing for Accurate Markerless 3D Splicing
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Solution Overview
Problem
The existing scanning process is hindered by the significant proportion of flat surface data in single-sided 3D data acquisition, leading to issues such as incorrect or difficult splicing during alignment.
Innovation Solution
A method and apparatus for scanned data processing that involves obtaining non-planar target scanned data by identifying and removing planar data, extracting surface features, and performing splicing based on feature data to ensure accurate alignment and splicing without the need for additional markers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If planar surface data is included in the scanned data, then the scanning process is simpler and covers more area, but the splicing accuracy deteriorates due to incorrect or difficult alignment
Solution Approach 1:
The patent extracts and removes planar surface data from the scanned data before performing splicing operations. By separating the planar data (which causes splicing difficulties) from the non-planar data, the system achieves accurate splicing while maintaining efficient scanning coverage.
Solution Approach 2:
The patent segments the scanned data into planar and non-planar components, processing each type differently. This segmentation allows the system to handle planar areas separately, preventing them from interfering with the splicing accuracy of non-planar surfaces.
2Manufacturing precision
If additional markers are used for alignment, then splicing accuracy improves, but device complexity and operation difficulty increase
Solution Approach 1:
The patent enables the scanning system to perform self-alignment and self-splicing by automatically identifying and removing planar surface data. This eliminates the need for external markers or additional alignment devices, as the system uses its own processed data to achieve accurate splicing.
Solution Approach 2:
By extracting and removing the problematic planar surface data, the patent eliminates the need for external markers. The system achieves markerless alignment by processing only the relevant non-planar data for splicing operations.
3Reliability
If planar data is retained for complete object coverage, then scanning completeness improves, but splicing difficulty increases due to data interference
Solution Approach 1:
The patent extracts planar data from the complete scanned dataset, retaining it for overall coverage while removing it from the splicing process. This allows the system to maintain complete object coverage while preventing planar data from interfering with splicing operations.
Solution Approach 2:
The patent segments the complete scanned data into planar and non-planar portions, using each appropriately. The planar data contributes to overall scanning completeness, while the non-planar data is used for accurate splicing, eliminating operational difficulties.
Data Source
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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.