Paper
16 October 2006 Camera calibration for reverse engineering
Ming Kong, Shi-min Wang, Yi Lu, Zai Luo, Qianjing Tang
Author Affiliations +
Proceedings Volume 6280, Third International Symposium on Precision Mechanical Measurements; 628015 (2006) https://doi.org/10.1117/12.716146
Event: Third International Symposium on Precision Mechanical Measurements, 2006, Urumqi, China
Abstract
3D surface reconstruction plays an important role in reverse engineering, which can be implemented by machine vision techniques. In the techniques, the calibration of the intrinsic and extrinsic parameters of a camera is very crucial to ensure the 3D reconstruction accuracy. This paper will present a neural network method for the calibration. This method uses weight matrixes to calculate the transformation matrix of the 3D points in a world frame against their corresponding 2D image pixels, and then the intrinsic and extrinsic parameters can be readily extracted from the matrix. The experimental results have shown that the method can obtain a precise calibration result.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ming Kong, Shi-min Wang, Yi Lu, Zai Luo, and Qianjing Tang "Camera calibration for reverse engineering", Proc. SPIE 6280, Third International Symposium on Precision Mechanical Measurements, 628015 (16 October 2006); https://doi.org/10.1117/12.716146
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KEYWORDS
Cameras

Calibration

Neural networks

3D modeling

3D image processing

Reverse engineering

Machine vision

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