DocumentCode :
568309
Title :
Projective rectification of infrared image based on projective geometry
Author :
Xiaolu Li ; Tao He ; Lijun Xu ; Lulu Chen ; Zhanshe Guo
Author_Institution :
Sch. of Instrum. & Opto-Electron. Eng., Beihang Univ., Beijing, China
fYear :
2012
fDate :
16-17 July 2012
Firstpage :
356
Lastpage :
360
Abstract :
Projective distortion caused by tilted camera brings great inconvenience to subsequent image processing and pattern recognition. In this paper, a method based on projective geometry is introduced to correct the projective distortion of infrared images. The dual conic in distortion image, which contains all the information of projective rectification, is identified firstly, and then the projective transformation matrix is derived by decomposing the dual conic. Finally, optimization is carried out to get the optimal result. Experimental results show that the method used in this paper can remove the projective distortion of infrared image effectively.
Keywords :
image enhancement; image sensors; infrared imaging; optical distortion; dual conic; image distortion; image processing; infrared image; optimization; pattern recognition; projective distortion; projective geometry; projective rectification; projective transformation matrix; tilted camera; Argon; Computers; Helium; LM algorithm; Radon transform; projective distortion; projective transformation matrix; the dual conic;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Imaging Systems and Techniques (IST), 2012 IEEE International Conference on
Conference_Location :
Manchester
Print_ISBN :
978-1-4577-1776-5
Type :
conf
DOI :
10.1109/IST.2012.6295549
Filename :
6295549
Link To Document :
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