Scale-Space Feature Detection for Close Range Camera Calibration

Author(s):  
M. Kinsner ◽  
D. Capson ◽  
A. Spence
2015 ◽  
Vol 77 (26) ◽  
Author(s):  
Ahmad Razali Yusoff ◽  
Mohd Farid Mohd Ariff ◽  
Khairulnizam M. Idris ◽  
Zulkepli Majid ◽  
Albert K. Chong

All photogrammetric applications need good camera parameters for mapping purpose, such as an Unmanned Aerial Vehicle (UAV) that encompassed with camera devices. Simple camera calibration is commonly used in many experiments in order to obtain the camera parameter’s value. In aerial mapping, interior camera parameters value of close-range camera calibration is used to correct the image error. However, the changes of the interior calibration parameters used need to be considered at different heights of mapping. Therefore, this research aims to contribute by analyzing of camera parameters’ changes from three heights using calibration field, and one camera calibration in the laboratory as commonly used. Camera distance heights of 15 metre, 25 metre, 55 metre, and 1.4 metre camera distance in the laboratory. The results show the changes in camera parameter’s value. Hence, value of camera calibration parameters of a camera is considered different and can change depend on the distance (height) of calibration.


2008 ◽  
Vol 05 (01) ◽  
pp. 41-50 ◽  
Author(s):  
ZHIGANG ZHENG ◽  
ZHENGJUN ZHA ◽  
LONG HAN ◽  
ZENGFU WANG

This paper addresses the problem of highly accurate, highly speedy, more reliable and fully automatic camera calibration. Our objective is to construct a reliable and fully automatic system to supply a more robust and highly accurate calibration scheme. A checkerboard pattern is used as calibration pattern. After the corner points on image are detected, an improved Delaunay triangulation based algorithm is used to make correspondences between corner points on image and corner points on checkerboard in 3D space. In order to determine precise position of the actual corner points, a geometrical constraint based global curve fitting algorithm has been developed. The experimental results show that the geometrical constraint based method can improve remarkably the performance of the feature detection and camera calibration.


2013 ◽  
Vol 24 (7) ◽  
pp. 074024 ◽  
Author(s):  
Vasillios Vonikakis ◽  
Dimitrios Chrysostomou ◽  
Rigas Kouskouridas ◽  
Antonios Gasteratos

2013 ◽  
Vol 38 (9) ◽  
pp. 1446 ◽  
Author(s):  
Lei Huang ◽  
Qican Zhang ◽  
Anand Asundi

1993 ◽  
Author(s):  
J. A. Beraldin ◽  
Sabry F. El-Hakim ◽  
Luc Cournoyer

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