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