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