DocumentCode :
3114831
Title :
A novel parameter estimation algorithm based on RANSAC for precise omnidirectional image unwrapping
Author :
Cheng, Weihong ; Gu, Shuang ; Chen, Qijun
Author_Institution :
Coll. of Electron. & Inf., Tongji Univ., Shanghai, China
fYear :
2011
fDate :
26-28 March 2011
Firstpage :
717
Lastpage :
720
Abstract :
Conventional perspective cameras is restricted for certain application in computer vision due to the limited fields of view. Omnidirectional camera, on the other hand, has large fields of view, which is hard for human observation and traditional visual algorithm application. Therefore, approaches to unwrap the distorted image into perspective image are required. As the quality of unwrapping omnidirectional image is heavily depend on the estimation of system parameters. In this work, we propose an improved algorithm to solve the problem of parameter estimation, using RANSAC and omnidirectional vision imaging characteristics. Experiment shows that the algorithm has high accuracy, strong anti-interference characteristics.
Keywords :
cameras; computer vision; parameter estimation; RANSAC; antiinterference characteristics; computer vision; human observation; image distortion; omnidirectional camera; omnidirectional vision imaging; parameter estimation; precise omnidirectional image unwrapping; visual algorithm; Cameras; Computer vision; Estimation; Lenses; Machine vision; Mirrors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science and Technology (ICIST), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9440-8
Type :
conf
DOI :
10.1109/ICIST.2011.5765346
Filename :
5765346
Link To Document :
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