3D Shape Measurement Device Adaptive Image Capture
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Solution Overview
Problem
Existing three-dimensional shape measurement systems face challenges in capturing appropriate two-dimensional images due to high moving speeds of imaging units, leading to missed areas or excessive overlapping, especially when the object's shape is complex, resulting in inefficient memory usage and processing requirements.
Innovation Solution
A three-dimensional shape measurement device that captures two-dimensional images with different settings, such as shutter speed, aperture, and sensitivity, and uses an illumination unit to optimize image capture based on the similarity between feature points in the images, allowing for appropriate timing and quantity of image acquisition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the imaging unit moves at high speed to capture images quickly, then the productivity of image capture is improved, but areas may be missed that should be imaged
Solution Approach 1:
The system performs preliminary actions by capturing a first two-dimensional image before moving to a new position, then uses this image to determine whether to capture a second image at the new position. This preliminary capture ensures that no areas are missed while maintaining efficient capture speed, as the decision to capture additional images is made based on the preliminary image analysis.
Solution Approach 2:
The system implements feedback by analyzing the first two-dimensional image to determine the necessity of capturing a second image. The feature point similarity calculation provides feedback that guides whether to proceed with additional capture, ensuring complete coverage while avoiding unnecessary captures at high speeds.
2Reliability
If the imaging unit moves at low speed to capture images thoroughly, then the image coverage is improved, but overlapped areas increase
Solution Approach 1:
The system uses feedback from feature point similarity analysis to determine whether to capture additional images. When the similarity between feature points in the first image and the current view is high, the system determines that no additional image is necessary, thereby avoiding overlapped captures while maintaining thorough coverage even at low speeds.
Solution Approach 2:
The system changes the parameter of image capture based on the calculated similarity. When similarity exceeds a threshold, the system changes the capture decision from mandatory to optional, thereby reducing the quantity of images captured while maintaining coverage quality, even when moving at low speeds.
3Ease of manufacture
If periodic capturing of two-dimensional images is performed, then the process is simple to implement, but appropriate images cannot be captured when moving speed is high or low
Solution Approach 1:
The system transitions from static periodic capturing to dynamic conditional capturing. Instead of capturing images at fixed intervals, the system dynamically adjusts capture decisions based on real-time feature point similarity calculations and movement characteristics, ensuring appropriate images are captured regardless of speed while maintaining implementation simplicity through automated decision-making.
Solution Approach 2:
The system changes the capture parameter from fixed periodic timing to variable timing based on similarity thresholds. This parameter change allows the system to maintain simplicity in implementation while significantly improving the reliability of capturing appropriate images, as the decision logic adapts to different moving speeds and object characteristics.
4Reliability
If unnecessary overlapped imaging is performed, then the image coverage is sufficient, but memory usage and processing requirements increase
Solution Approach 1:
The system uses feedback from feature point similarity analysis to prevent unnecessary image captures. By continuously monitoring the similarity between feature points and comparing it against thresholds, the system avoids capturing redundant images that would increase memory usage and processing requirements while ensuring sufficient coverage is maintained.
Solution Approach 2:
The system changes the quantity of captured images by adjusting capture decisions based on similarity parameters. When the calculated similarity indicates sufficient coverage, the system changes the capture parameter to skip unnecessary images, thereby reducing image data volume and processing requirements while maintaining adequate coverage through intelligent parameter adjustment.
Data Source
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AI summary
A three-dimensional shape measurement device of the present invention, includes: an imaging unit sequentially outputting a captured predetermined two-dimensional image (hereinafter, referred to as a first two-dimensional image), while outputting a second two-dimensional image, according to a predetermined output instruction, the second two-dimensional image having a setting different from that of the imaged first two-dimensional image; an output instruction generation unit generating the output instruction on the basis of the first two-dimensional image and the second two-dimensional image outputted by the imaging unit; and a storage unit storing the second two-dimensional image outputted by the imaging unit.