Title :
Multi-image Matching Technology and Its Application of Investigation of Traffic Accident
Author :
Liu, Rong ; Zhang, Zuxun ; Zhang, Jianqing ; Zhu, Yufeng
Author_Institution :
East China Inst. of Technol., Fuzhou, China
Abstract :
Image matching acts main role on digital image processing and computer vision. Least Squares Matching (LSM) is one of methods of image matching. The paper introduces some approaches of image matching, especially the application of LSM in digital close range photogrammetry. The method of calibration of digital camera is described. Matching procedure and principle of multi-image collinear condition constrained least squares matching are emphasized. Field images data acquisition and indoor data processing of photogrammetric investigation of traffic accidents are presented in detail. Feasibility is proved by traffic accidents. Compare with traditional method, multi-photo collinear condition constrained least squares matching technique has advantages in precision, automation, 3D visualization as well as efficiency and work situation.
Keywords :
computer vision; image matching; least squares approximations; photogrammetry; road accidents; traffic engineering computing; 3D visualization; computer vision; digital camera calibration; digital close range photogrammetry; digital image processing; field images data acquisition; indoor data processing; least squares matching; multiimage matching technology; multiphoto collinear condition; traffic accident investigation; Application software; Calibration; Computer vision; Data acquisition; Data processing; Digital cameras; Digital images; Image matching; Least squares methods; Road accidents; 3D visualization; camera calibration; computer vision; data acquisition; image matching; traffic accident;
Conference_Titel :
Information Technology and Applications, 2009. IFITA '09. International Forum on
Conference_Location :
Chengdu
Print_ISBN :
978-0-7695-3600-2
DOI :
10.1109/IFITA.2009.286
