Title :
Visual Positioning Using Four-Point Planar Patterns
Author :
Xu, De ; Li, Youfu ; Tan, Min
Author_Institution :
The Key Lab. of Complex Syst. & Intelligence Sci., Chinese Acad. of Sci., Beijing
Abstract :
The existence of multi-resolutions for the perspective-n-point (PnP) problem makes the position-based visual control based on PnP positioning method difficult for practical applications. In this paper, two simple four-point patterns are designed to ensure unique solution for the PnP problem. One is a triangle planar pattern, which consists of three points and their centroid. Another is quadrangle planar pattern. A recursive least square algorithm with a forgetting factor is introduced to improve the solution accuracy. The positioning accuracy based on PnP positioning method is investigated for the two patterns. The method presented in this paper has the advantages of minimum set of known points providing unique solution and linear pose estimation. Experiments are performed to verify the effectiveness of the proposed patterns and method.
Keywords :
computer vision; image sensors; least squares approximations; pose estimation; position control; recursive estimation; forgetting factor; four-point planar patterns; linear pose estimation; perspective-n-point problem; position-based visual control; quadrangle planar pattern; recursive least square algorithm; triangle planar pattern; visual positioning; Automatic control; Cameras; Control systems; Intelligent manufacturing systems; Laboratories; Least squares methods; Manufacturing automation; Optical imaging; Recursive estimation; Research and development management;
Conference_Titel :
Automation Science and Engineering, 2006. CASE '06. IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
1-4244-0310-3
Electronic_ISBN :
1-4244-0311-1
DOI :
10.1109/COASE.2006.326949