3D Shape Measurement Using Dynamic Extruded Image Regions
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Solution Overview
Problem
Existing three-dimensional shape measuring systems struggle to accurately measure objects with varying sizes and positions, as they are limited by fixed effective regions, making it difficult to remove undesired data from captured images.
Innovation Solution
A system that uses a camera and controller to capture base images, identifies reference structures, computes extruded regions, and generates computational images by cropping out undesired areas, allowing for precise shape measurement regardless of object position and size changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a fixed effective region is used to remove undesired data from captured images, then the amount of computation is reduced and measurement accuracy is improved, but the system cannot adapt to target objects with varying sizes and positions
Solution Approach 1:
The patent applies dynamics by making the effective region dynamic rather than fixed. The controller dynamically determines the effective region based on the detected position and size of the target object in each captured image. This allows the system to adapt to varying object sizes and positions while maintaining accurate shape measurement by excluding undesired regions specific to each imaging scenario.
2Adaptability or versatility
If the entire captured image is used for shape measurement, then the system can handle any object position and size, but the amount of computation increases and measurement accuracy decreases due to undesired regions
Solution Approach 1:
The patent applies the extraction principle by identifying and removing undesired regions from the captured image. The controller extracts only the effective region containing the target object by detecting object boundaries and excluding areas outside these boundaries. This extraction process eliminates interference from undesired regions while preserving the complete target object regardless of its position or size in the image.
3Ease of operation
If a fixed effective region is predefined, then the system structure is simple and easy to operate, but it cannot accommodate changes in target object positions and sizes
Solution Approach 1:
The patent applies self-service by enabling the system to automatically determine its own effective region without requiring manual configuration. The controller automatically detects the target object's position and size in each captured image and autonomously defines the effective region based on this detection. This self-determination process maintains system simplicity while achieving high adaptability to varying object characteristics.
Data Source
AI summary
A three-dimensional shape measuring system includes a controller and a camera which images a target object to acquire a base image, in which the controller is configured to previously store three-dimensional shape data for a plurality of known structures, identify at least one structure from the plurality of known structure as at least one reference structure, compute at least one extruded region formed by extruding the at least one reference structure along a predetermined extruding direction based on the three-dimensional shape data, crop out a part of the base image to generate a computational image based on the at least one extruded region and the base image, and measure a shape of the target object based on the computational image.