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

Volume

1

fYear

2009

fDate

15-17 May 2009

Firstpage

528

Lastpage

531

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Technology and Applications, 2009. IFITA '09. International Forum on

Conference_Location

Chengdu

Print_ISBN

978-0-7695-3600-2

Type

conf

DOI

10.1109/IFITA.2009.286

Filename

5231685