Intraoral Scan Post Registration with Auxiliary Feature Points
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Solution Overview
Problem
The limitation of the scanning range of oral scanners in intraoral scanning leads to cumulative errors, resulting in low overall accuracy of dental models during the restoration of missing teeth.
Innovation Solution
A method and apparatus for processing scanning data that involves installing intraoral scan posts with auxiliary feature points, obtaining frames of images, registering them in a unified coordinate system, and determining a target position transformation relationship based on distribution true values to improve accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If multi-data registering solution is used to scan intraoral data, then the scanning range limitation is overcome, but cumulative errors occur resulting in low overall accuracy
Solution Approach 1:
The patent introduces scan posts with auxiliary feature points as intermediary objects to establish a unified coordinate system. These scan posts serve as reference mediators between different scanning sessions, allowing accurate transformation and registration without accumulating errors. The auxiliary feature points on scan posts provide stable reference markers that enable precise spatial relationship determination across multiple scans.
Solution Approach 2:
The patent transforms the coordinate system parameters by establishing a unified coordinate system based on scan post positions. By calculating transformation relationships between different coordinate systems using the scan posts as references, the system changes the parameter representation from multiple local coordinate systems to a single global coordinate system, eliminating cumulative registration errors.
2Quantity of substance
If multiple scan posts are used to expand scanning coverage, then more comprehensive data is obtained, but determining relative positions becomes more complex
Solution Approach 1:
The patent divides the oral cavity scanning task into multiple segments, each covered by a scan post placed in specific regions. Each scan post independently establishes a local reference frame, and the overall coordinate system is constructed by combining these segmented references. This segmentation approach simplifies the transformation complexity compared to attempting to register all data in a single multi-data registration process.
Data Source
AI summary
A method and apparatus for processing scanning data, a device, and a medium are provided. The method includes: obtaining a plurality of frames of images to be processed including auxiliary feature points, the auxiliary feature points having corresponding distribution true values; performing processing based on the plurality of frames of images to be processed to obtain all three-dimensional coordinate points in a same coordinate system in conjunction with a current camera pose; performing measurement processing on all the three-dimensional coordinate points to obtain target three-dimensional coordinate points; and determining a target position transformation relationship based on the target three-dimensional coordinate points and the distribution true values.