DocumentCode :
438962
Title :
A high-precision binocular method for model-based pose estimation
Author :
Chuan, Zhoy ; Da-Long, Tan ; Feng, Zhu
Author_Institution :
Shenyang Inst. of Autom., Chinese Acad. of Sci., Beijing, China
Volume :
2
fYear :
2004
fDate :
6-9 Dec. 2004
Firstpage :
1067
Abstract :
It is an important problem to determine the relative position and translation between two space objects in robotic research. However, if traditional stereo vision method is used in model-based system without exploiting rigid constraints, the precision may be low especially in depth direction. This paper solves this problem with an accurate and real-time strategy, which is based on real-time genetic algorithm (RGA) and perspective 3-point (P3P) algorithm. Real image and simulation experiments show this method has dramatic performance and it can be applied in real-time situation.
Keywords :
genetic algorithms; motion estimation; robots; stereo image processing; high-precision binocular method; model-based pose estimation; perspective 3-point algorithm; real-time genetic algorithm; robotic research; stereo vision method; Cameras; Genetic algorithms; Image reconstruction; Laboratories; Motion estimation; Navigation; Nonlinear optics; Orbital robotics; Robot kinematics; Robotics and automation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Automation, Robotics and Vision Conference, 2004. ICARCV 2004 8th
Print_ISBN :
0-7803-8653-1
Type :
conf
DOI :
10.1109/ICARCV.2004.1468991
Filename :
1468991
Link To Document :
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