Computational aspects of camera system calibration

1998 ◽  
Author(s):  
Robert J. Valkenburg
Keyword(s):  
Camera System ◽  
System Calibration ◽  
Computational Aspects

scholarly journals 3D visual perception for self-driving cars using a multi-camera system: Calibration, mapping, localization, and obstacle detection

2017 ◽  
Vol 68 ◽  
pp. 14-27 ◽  
Author(s):  
Christian Häne ◽  
Lionel Heng ◽  
Gim Hee Lee ◽  
Friedrich Fraundorfer ◽  
Paul Furgale ◽  
...  
Keyword(s):  
Visual Perception ◽  
Obstacle Detection ◽  
Camera System ◽  
System Calibration ◽  
Self Driving Cars

Revisit Surround-view Camera System Calibration

2019 ◽  
Author(s):  
Xuan Shao ◽  
Xiao Liu ◽  
Lin Zhang ◽  
Shengjie Zhao ◽  
Ying Shen ◽  
...  
Keyword(s):  
Camera System ◽  
System Calibration

Measurement of Electrochemical Machining Initial Gap Based on Machine Vision

2011 ◽  
Vol 230-232 ◽  
pp. 1190-1194 ◽  
Author(s):  
Min Kang ◽  
Hou Shang Li ◽  
Xiu Qing Fu
Keyword(s):  
Machine Vision ◽  
Measurement System ◽  
Measurement Method ◽  
Electrochemical Machining ◽  
Image Data ◽  
Ccd Camera ◽  
Camera System ◽  
Physical Size ◽  
System Calibration ◽  
Data Acquisition Card

In order to measure the initial gap between the workpiece and tool-cathode in electrochemical machining, the measurement method based on machine vision was studied in this paper. First, the measurement system based on machine vision was established. The hardware of the system consisted of CCD camera, image data acquisition card, light source and computer. The software of the system was developed by VC++6.0. Then, the original digital image of electrochemical machining initial gap collected by the CCD camera system was changed into the contour of image through graying, bivalency, edge detection and segmentation. Through system calibration, the physical size of the gap was calculated. Finally, relative experiments were carried out. The experimental results validated the feasibility of the method which measures the electrochemical machining initial gap based on machine vision.

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