Investigating the effect of PSO algorithm on reducing control points in camera calibration |
Paper ID : 1212-SMPR |
Authors: |
Seyed Arvin Fakhri *1, Seyed Arya Fakhri2 1Department of Photogrammetry and Remote Sensing, Faculty of Geodesy and Geomatics Engineering, K. N. Toosi University of Technology, Tehran, Iran 2School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Tehran, Iran |
Abstract: |
non-metric cameras have been utilized in functions with less accuracy requirement or even in precise works with the progress of photogrammetric cameras developed technology. Since we have always error in measurements, there is no exception in Photogrammetry, which is more in the non-metric cameras than the metric ones. So far, many models have been proposed to investigate and modify the behavior of errors. Since the picture need to be connected to earth to calculate the calibration parameters of the camera, therefore this connection is generally made through points known as the GCPs, and more of these control points are needed in the complex models with more sophisticated calculations. Using a method to reduce the need for less control points and achieving a suitable accuracy is beneficial due to the high cost and time-consuming process of preparing the control points. One of the methods that could be used in solving the calibration equations is the PSO algorithm. Images of a few targets are captured in this research by a non-metric camera and the collinearity equations are used by adding further correction terms in order to calibrate the camera. The results of PSO are compared with the classical mathematical methods in each step by reducing the number of control points, which indicated that the performance of using the PSO algorithm is better than the conventional proration methods in reducing the number of points and could be utilized in projects suffering from the lack of control points |
Keywords: |
PSO, Calibration, non-metric camera, close range, control point, collinearity equation |
Status : Conditional Accept (Poster) |