3D Photodetection Point Cloud Density for Faster Accurate Measurement
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Solution Overview
Problem
Existing three-dimensional shape measurement technologies face a trade-off between accuracy and processing time, where increasing point group density improves accuracy but lengthens processing time, while reducing density decreases accuracy.
Innovation Solution
A photodetection device that sets an appropriate point group density by generating masks based on edge and flat regions, allowing for high-speed and accurate three-dimensional shape measurement by differentiating point group densities in these regions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the point group density is increased to improve position/posture estimation accuracy, then the measurement precision is improved, but the processing time becomes longer
Solution Approach 1:
The patent applies local quality by setting different point group densities for different regions of the measurement object. Specifically, regions with high positional importance (such as regions containing features critical for position/posture estimation) are assigned higher point group densities, while less critical regions use lower densities. This resolves the contradiction by concentrating computational resources where they provide the most benefit to accuracy while reducing processing time in less critical areas.
Solution Approach 2:
The patent segments the measurement space into multiple regions based on positional importance, then applies different point group densities to each segment. This segmentation allows the system to optimize the trade-off between accuracy and processing time by treating different spatial regions differently, rather than using a uniform density approach that would require high density everywhere to ensure accuracy.
2Productivity
If the point group density is decreased to reduce processing time, then the processing speed is improved, but the position/posture estimation accuracy decreases
Solution Approach 1:
The patent applies local quality by setting different point group densities for different regions of the measurement object. Specifically, regions with high positional importance (such as regions containing features critical for position/posture estimation) are assigned higher point group densities, while less critical regions use lower densities. This resolves the contradiction by concentrating computational resources where they provide the most benefit to accuracy while reducing processing time in less critical areas.
Solution Approach 2:
The patent segments the measurement space into multiple regions based on positional importance, then applies different point group densities to each segment. This segmentation allows the system to optimize the trade-off between accuracy and processing time by treating different spatial regions differently, rather than using a uniform density approach that would require high density everywhere to ensure accuracy.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The solution enables high-speed and accurate three-dimensional shape measurement by optimizing point group density, reducing data amount and calculation costs without compromising accuracy, and enhancing frame rates.
Implementation Method 1
a light receiving sensor that acquires pattern information projected onto a subject
Data Source
AI summary
An object is to realize highly accurate and high-speed three-dimensional shape measurement. A photodetection device includes a light receiving sensor, a processing circuit, and a register. The light receiving sensor acquires pattern information projected onto a subject. The processing circuit acquires depth information on the basis of the pattern information, sets a point group density for each region in the depth information, sets a point group on the basis of the point group density, and outputs information regarding the point group. The register stores a parameter for processing in the processing circuit and a control signal of the processing circuit.