DocumentCode :
145188
Title :
Attitude Estimation for Camera Based on Frequency Domain Analysis
Author :
Shuqiang Guo ; Xiaoli Guo ; Liqun Wang ; Qingzhu Wang ; Honghui Fan
Author_Institution :
Sch. of Inf. Eng., Northeast Dianli Univ., Jilin, China
Volume :
1
fYear :
2014
fDate :
10-13 March 2014
Firstpage :
204
Lastpage :
207
Abstract :
In the field of machine vision, a very important task is to use the visual information to estimate the attitude of camera. The traditional approach is to embed a visual mark in the image´s texture for attitude estimation. However, a visual mark would spoil the unity of the image. This paper introduces a novel attitude estimation method using the spatial frequency domain analysis. In this method, the high frequency marker which is hard to be distinguished by the naked eyes is embedded in the image for attitude estimation. According to the spatial frequency change of the marker, the posture change of camera can be inferred. The result shows that this method is reliable and effective in terms of attitude estimation.
Keywords :
cameras; computer vision; image texture; attitude estimation; camera; high frequency marker; image texture; machine vision; posture change; spatial frequency domain analysis; visual information; visual mark; Cameras; Educational institutions; Equations; Estimation; Frequency-domain analysis; Mathematical model; Visualization; attitude estimation; frequency domain analysis; image processing; machine vision;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Science and Computational Intelligence (CSCI), 2014 International Conference on
Conference_Location :
Las Vegas, NV
Type :
conf
DOI :
10.1109/CSCI.2014.42
Filename :
6822109
Link To Document :
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