3D Scanner Image Alignment Using Partial Rescan Replacement
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Solution Overview
Problem
Conventional three-dimensional scanning in oral cavities requires repetitive scanning and manual alignment of images, which is cumbersome and difficult, especially when significant changes occur, leading to data acquisition failures and user inconvenience.
Innovation Solution
An electronic apparatus with processors and memory that automatically generates and aligns three-dimensional image models by replacing parts of existing data with new data, using vector intersection analysis to determine overlapping data values and aligning images based on common points.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If subsequent three-dimensional scanning is performed from the beginning, then complete data can be acquired, but the scanning process becomes cumbersome and time-consuming
Solution Approach 1:
The patent applies partial action by performing three-dimensional scanning only on regions that have changed since the previous scan, rather than rescanning the entire oral cavity. The system identifies changed regions by comparing current scan data with historical data, and selectively scans only those areas, thereby reducing scanning time while ensuring complete data acquisition for modified regions.
Solution Approach 2:
The patent segments the scanning process by dividing the oral cavity into multiple regions and identifying which specific regions have changed. By segmenting the data acquisition into targeted regions rather than a monolithic full-scan approach, the system reduces overall scanning time while maintaining data completeness for changed areas.
2Stability of the object's composition
If scanning is performed for a portion overlapping the existing three-dimensional data, then data continuity is maintained, but the scanning becomes difficult and may fail when the changed area is large
Solution Approach 1:
The patent performs scanning only on the minimal necessary overlapping portion that is sufficient to maintain data continuity, rather than scanning large overlapping areas. By calculating the exact boundary of changed regions and scanning only slightly beyond those boundaries, the system maintains data continuity while minimizing scanning difficulty and failure risk.
Solution Approach 2:
The patent applies different scanning strategies to different regions: fully scanned regions are replaced, partially changed regions are selectively scanned, and unchanged regions are retained from previous scans. This local quality approach optimizes the scanning process by applying appropriate actions to each region based on its change status.
3Measurement precision
If manual alignment of three-dimensional images is performed, then image comparison accuracy is improved, but the operation becomes cumbersome and complex
Solution Approach 1:
The patent implements self-service alignment by automatically computing transformation parameters between sequential three-dimensional images using feature point detection and mathematical transformation algorithms. The system autonomously performs alignment without requiring manual intervention, thereby maintaining high alignment accuracy while eliminating operational complexity.
Solution Approach 2:
The patent replaces manual mechanical alignment operations with automated computational methods. By using algorithm-based transformation and feature matching instead of manual positioning and visual alignment, the system achieves precise image alignment while dramatically reducing operational complexity.
4Manufacturing precision
If the size of the changed area in existing tooth is large, then treatment effectiveness is improved, but the overlapping scanning portion becomes small making data acquisition difficult
Solution Approach 1:
The patent performs preliminary identification of changed regions before conducting the actual scanning. By pre-calculating which areas have changed and determining the necessary scan boundaries in advance, the system ensures that sufficient overlapping portions are included in the scan plan, thereby maintaining data acquisition reliability even when changed areas are large.
Solution Approach 2:
The patent scans slightly beyond the exact boundaries of changed regions to ensure sufficient overlapping data is captured. This excessive action of scanning a marginally larger area than strictly necessary guarantees that adequate overlap exists for reliable data acquisition, while still avoiding the need to scan unnecessarily large areas.
Data Source
AI summary
The present disclosure relates to an apparatus, a method, and non-transitory computer-readable recording medium storing program for generating and aligning a three-dimensional image model of a three-dimensional scanner. The apparatus according to one embodiment of the present disclosure may: obtain first scan data values for a surface of an object by first scanning by the three-dimensional scanner, the first scan data values including three-dimensional coordinate values, generate a first three-dimensional image model based on the first scan data values, obtain second scan data values for the surface of the object by second scanning by the three-dimensional scanner performed after generation of the first three-dimensional image model, the second scan data values including three-dimensional coordinate values, and generate a second three-dimensional image model by automatically replacing at least a part of the first scan data values with the second scan data values or based on the second scan data values independently of the first three-dimensional image model.