Shape Measurement Method Using Global and Local Alignment
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Solution Overview
Problem
Existing shape measurement methods for optical components face challenges in achieving high accuracy due to machining errors and the need for complex reference equations, which can lead to increased measurement time and labor.
Innovation Solution
A shape measurement method that divides the surface of a measurement object into overlapping measurement regions, acquires partial measurement data, and uses coordinate transformation parameters for global and local alignment to combine the data accurately, thereby improving measurement accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If the surface is divided into multiple measurement regions and measured separately, then the measurement range is extended, but the measurement accuracy deteriorates due to alignment errors between regions
Solution Approach 1:
The patent divides the large measurement object into multiple measurement regions that can be measured separately by the measuring machine, then combines these partial measurements into composite data. This segmentation allows the measuring machine to handle objects larger than its single-measurement capacity while maintaining accuracy through proper alignment of the segmented regions using coordinate transformation parameters.
2Measurement precision
If complex reference equations are used to improve measurement accuracy, then measurement precision improves, but measurement time and labor increase
Solution Approach 1:
The patent replaces complex mechanical alignment procedures and manual reference equation calculations with automated coordinate transformation parameter calculations. By using computational methods to determine transformation parameters between measurement regions, the system achieves high measurement accuracy without requiring time-consuming manual intervention or complex reference equations.
Data Source
AI summary
A shape measurement method of the present disclosure is configured to measure a three-dimensional shape of a surface of a measurement object, the shape measuring method including the steps of: dividing the surface of the measurement object into a plurality of measurement regions; acquiring a plurality of sets of partial measurement data; calculating a first coordinate transformation parameter for performing global alignment of the plurality of sets of partial measurement data; acquiring error calculation data including a normal line at each of a plurality of measurement points of the plurality of sets of partial measurement data; extracting an overlapping region based on the plurality of sets of partial measurement data and the first coordinate transformation parameter; calculating a second coordinate transformation parameter for performing local alignment of the plurality of sets of partial measurement data based on the error calculation data in the extracted overlapping region; and generating composite data by combining the plurality of sets of partial measurement data based on the first coordinate transformation parameter and the second coordinate transformation parameter.


