Adaptive 3D Measurement Filter for Blur Compensation
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Solution Overview
Problem
Existing three-dimensional position measurement methods using active stereo methods face challenges in accurately determining the position of a projection image due to blur and motion blur, leading to insufficient position measurement accuracy.
Innovation Solution
An information processing apparatus that estimates the spread degree of a geometric feature projected onto an object's surface, sets parameters based on this estimation, and uses a detection filter to accurately determine point locations and calculate three-dimensional positions, improving measurement accuracy by adapting filter sizes to the spread degree of the measurement line.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a fixed-resolution image processing method is used, then the processing is simple, but the position measurement accuracy is insufficient under blur and motion blur conditions
Solution Approach 1:
The patent applies dynamics by making the image processing method adaptive rather than fixed. The system dynamically selects appropriate processing parameters based on the actual blur conditions detected in the image, allowing the measurement system to adjust to varying optical conditions and maintain high accuracy across different scenarios
Solution Approach 2:
The patent implements parameter changes by modifying image processing parameters (such as filter sizes, resolution levels, or detection thresholds) according to the detected spread degree of geometric features. This allows the system to optimize measurement accuracy by adapting parameters to the actual image quality and blur conditions
2Measurement precision
If images of multiple resolutions are used to decide projection image position, then position decision accuracy improves, but the processing time and complexity increase
Solution Approach 1:
The patent applies preliminary action by pre-establishing the relationship between spread degree and optimal processing parameters. Instead of processing multiple resolutions at runtime, the system pre-determines the appropriate processing level based on detected blur characteristics, eliminating the need for time-consuming multi-resolution processing while maintaining accuracy
Solution Approach 2:
The patent uses copying by creating a simplified representation of the blur condition through spread degree measurement. This single parameter captures the essential information needed to select processing parameters, replacing the need to actually process multiple full-resolution images and significantly reducing processing time
3Measurement precision
If the spread degree of geometric features is estimated and parameters are adapted accordingly, then measurement accuracy under blur conditions improves, but the processing steps increase
Solution Approach 1:
The patent applies segmentation by dividing the image processing task into distinct stages: first estimating the spread degree of geometric features, then selecting processing parameters based on this estimation, and finally performing the measurement. This structured approach makes the complex process manageable and systematic
Data Source
AI summary
A spread degree of a geometric feature in a surface of an object to be measured is estimated. The geometric feature is included in a geometric pattern, and will be observed in an image obtained by capturing the object on which the geometric pattern is projected. A parameter is set based on the estimated spread degree. Based on the parameter, a point on the geometric pattern is set in a captured image obtained by capturing the object to be measured on which the geometric pattern is projected. A three-dimensional position on the surface of the object corresponding to the set point is calculated.