Method of Bicycle Trajectory Extraction with Camera Calibration Technique

2018 ◽  
Author(s):  
Qy Hou ◽  
X Liang ◽  
Qh Gong
Keyword(s):  
Camera Calibration ◽  
Calibration Technique

Camera Calibration Technique Based on Active Vision

2010 ◽  
Vol 30 (5) ◽  
pp. 1297-1303 ◽  
Author(s):  
朱嘉 Zhu Jia ◽  
李醒飞 Li Xingfei ◽  
徐颖欣 Xu Yingxin
Keyword(s):  
Camera Calibration ◽  
Active Vision ◽  
Calibration Technique

Camera calibration technique with planar scenes

2003 ◽  
Author(s):  
Yongjun Zhang ◽  
Zuxun Zhang ◽  
Jianqing Zhang
Keyword(s):  
Camera Calibration ◽  
Calibration Technique

Stereophotogrammetry of Oceanic Clouds

2014 ◽  
Vol 31 (7) ◽  
pp. 1482-1501 ◽  
Author(s):  
Rusen Öktem ◽  
Prabhat ◽  
James Lee ◽  
Aaron Thomas ◽  
Paquita Zuidema ◽  
...  
Keyword(s):  
Camera Calibration ◽  
Cloud Base ◽  
Biscayne Bay ◽  
Digital Cameras ◽  
Image Pair ◽  
Single Image ◽  
Calibration Technique ◽  
Launch Site ◽  
Stereo Cameras ◽  
Stereo Reconstruction

This study extends ground-based stereophotogrammetry of clouds to oceanic settings, where there are often none of the landmarks used in traditional camera calibration. This paper introduces a zero-landmark calibration technique and tests it with two off-the-shelf digital cameras situated about 1 km apart facing Biscayne Bay in Miami, Florida. The precision of the stereo reconstruction is studied theoretically, and the accuracy of the reconstructions is validated against lidar and radiosondes. The stereo cameras are able to accurately reconstruct a histogram of cloud-base heights from a single-image pair, a task that requires tens of minutes of observation from a cloud lidar. The stereo cameras are also able to accurately reconstruct horizontal winds in cloud layers with a temporal resolution in the range of 30 s to 5 min, compared to once every 12 h for a typical radiosonde launch site.

A New Technique for Camera Calibration Using Circle Template

2011 ◽  
Vol 467-469 ◽  
pp. 1917-1920
Author(s):  
Ya Wei Liu ◽  
Jian Wei Li
Keyword(s):  
Camera Calibration ◽  
Least Square ◽  
Calibration Technique ◽  
Least Square Fitting ◽  
Spatial Moment ◽  
Fitting Method ◽  
Moment Operator ◽  
A New Technique ◽  
Perspective Model ◽  
Least Square Fitting Method

In view of the poor anti-noise performance of traditional methods, the principle of camera calibration is analyzed based on calibration template with planar circles, and a new calibration technique is proposed based on pin-hole perspective model. Firstly, the edges of image ellipses are located in sub-pixel by spatial-moment operator. Then elliptic equations are obtained by the Least Square Fitting method, and common tangents of two arbitrary ellipses are also calculated. Finally, the extrinsic and intrinsic parameters are computed by the Radial Alignment Constraint (RAC) model. Experiments results indicate that proposed method has a goof performance of lower computation complexity and higher precision.

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