Non-contact 3D Measuring System Position Feedback Interpolation
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Solution Overview
Problem
Conventional non-contact 3D measuring systems using interlace cameras face challenges in achieving accurate frame image combination due to variations in scanning speed, leading to reduced measurement accuracy.
Innovation Solution
A non-contact 3D measuring system that employs a position detector to capture raw images and generates interpolation images using linear interpolation, combining them to produce accurate frame images, even when images are not captured at constant distance intervals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If images are captured at constant time intervals while moving the measuring head, then the image acquisition process is simple and efficient, but the images are not captured at constant distance intervals due to speed variations, reducing measurement accuracy
Solution Approach 1:
The system uses a position detector to provide feedback on the actual position of the measuring head during scanning. This position information is fed back to the computer, which then uses it to correctly associate each captured image with its precise spatial location, enabling accurate frame image combination even when images are captured at non-uniform distance intervals.
Solution Approach 2:
The system changes from assuming constant speed movement to actually measuring and using variable speed movement parameters. By detecting the actual position of the measuring head at each image capture moment and using these position parameters in the frame image combination process, the system adapts to speed variations and maintains measurement accuracy.
2Manufacturing precision
If the measuring head is moved at constant speed, then constant distance intervals between images are achieved, but acceleration and deceleration at start and end of movement cause speed variations, making constant speed impossible
Solution Approach 1:
The position detector continuously monitors the actual position of the measuring head during movement, providing feedback that reveals speed variations caused by acceleration and deceleration. This feedback enables the system to compensate for non-uniform movement by using actual position data in the frame image combination process.
Solution Approach 2:
The system makes the movement control self-correcting by using the position detector to automatically detect and record actual positions. The computer then uses this self-detected position information to adjust the frame image combination process, eliminating the need for external intervention to correct speed variations.
3Device complexity
If simple average interpolation is used for frame image combination, then the processing is computationally simple and fast, but measurement accuracy deteriorates when images are not at constant distance intervals
Solution Approach 1:
The system changes the interpolation method from simple average (which assumes equal spacing) to linear interpolation that uses actual position parameters. By incorporating the detected position information into the interpolation calculation, the system adapts to non-uniform distance intervals and maintains accuracy without excessive computational complexity.
Data Source
AI summary
A non-contact 3D measuring system is configured to provide a combined three-dimensional shape of an object to be imaged based on a frame image, which has been captured by a camera while a measuring head is being scanned in an optical axis (Z-axis) direction, and the information on the position at which the image has been acquired. The system includes: a position detector for detecting a scanning position of the measuring head while a plurality of raw images are captured; and a computer for generating an interpolation image by linear interpolation for the captured raw image using the information of the scanning position as well as generating a combined frame image using the interpolation image.