DocumentCode :
1590746
Title :
New vision location algorithm based on one straight line and two points features
Author :
Lijuan, Qin ; Yulan, Hu ; Rujing, Yang
Author_Institution :
School of Information Science and Engineering, Shenyang Ligong University, Liaoning, China
fYear :
2012
Firstpage :
1
Lastpage :
4
Abstract :
Generally, we use point, line and conic features to locate object. At present, most pose estimation method use one kind of feature to locate object, but not combine different features to locate. In some circumstances, the numbers of one kind of feature maybe not enough to locate, but there exit different features in natural surroundings. In this case, using different features to locate is convenient. Thus, we propose this new method which combines different features of one line and two points to locate object. The numbers of feature to locate is three, which is the minimum configuration. Two random points can form one line. When the line formed by two points is parallel to the other line, we can compute the rotation and translation matrix. This method we propose can obtain the closed-form solution of 3D pose and it is simple. Therefore, it has good real-time characteristic in locating.
Keywords :
location; monocular vision; point; straight line;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
World Automation Congress (WAC), 2012
Conference_Location :
Puerto Vallarta, Mexico
ISSN :
2154-4824
Print_ISBN :
978-1-4673-4497-5
Type :
conf
Filename :
6321695
Link To Document :
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