DocumentCode :
2867457
Title :
The Judgment Method for the Unique Solution of Real-time Pose Estimation from Particular Line Correspondences
Author :
QIN, Lijuan ; Zhu, Feng
Author_Institution :
Shenyang Inst. of Autom., Chinese Acad. of Sci., Shenyang
fYear :
2006
fDate :
25-28 June 2006
Firstpage :
1216
Lastpage :
1220
Abstract :
We usually can determine object pose from three lines in general position. For the particular line configuration of three non-coplanar lines which intersect at two points, it has some particular characteristics three lines in general position don´t have, thus its mathematical expression is easy and it is easy to solve if we use this particular line configuration to locate object. This method enriches the pose estimation methods from three line correspondences in theory, at the same time, it provides the base for the practical applications. The article introduces the pose estimation method from this particular line configuration. The multi-solution phenomenon is the dominating problem that puzzles the computer vision for a long time and it limits the application of pose estimation algorithm. To solve the multi-solution problem, we present a novel method to find the unique solution by position information of space lines. Especially, we provide a detailed account of the realizable aspects of the judgment method. At last, the simulation results which demonstrate our algorithm method works fast and robust are presented
Keywords :
computer vision; motion estimation; object detection; computer vision; multisolution phenomenon; noncoplanar lines; object pose; particular line configuration; real-time pose estimation; Application software; Automation; Computer vision; Mechatronics; Navigation; Nonlinear equations; Object recognition; Polynomials; Robots; Robustness; Line features; Multi-solution phenomenon; Pose estimation; Unique solution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronics and Automation, Proceedings of the 2006 IEEE International Conference on
Conference_Location :
Luoyang, Henan
Print_ISBN :
1-4244-0465-7
Electronic_ISBN :
1-4244-0466-5
Type :
conf
DOI :
10.1109/ICMA.2006.257799
Filename :
4026259
Link To Document :
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