DocumentCode :
2464779
Title :
Position and radius of spheres from single off-axis catadioptric images
Author :
Caglioti, Vincenzo ; Gasparini, Simone
Author_Institution :
Politecnico di Milano, Milan
fYear :
2007
fDate :
14-21 Oct. 2007
Firstpage :
1
Lastpage :
6
Abstract :
In this paper we address the problem of sphere localization from a single image taken with a noncentral catadioptric camera. We propose a method for determining both the radius and the position of an unknown sphere from a single, catadioptric image. The method can find its application in the field of robotic vision, especially in mobile robots playing soccer in RoboCup contests, in order to improve robot capabilities related to playing with a flying ball. Recently, a method for sphere reconstruction from single image taken with a noncentral, axial-symmetric, catadioptric camera has been proposed. In an axial symmetric catadioptric cameras, the pinhole of the camera is placed on the mirror axis. Though axial symmetric cameras help to simplify the geometrical treatment of the problem, they are difficult to set up since they require a precise alignment, usually hard to check. In this paper we deal with the general case of off-axis catadioptric cameras, with the camera pinhole placed in a general position w.r.t. the mirror. We devise a simple geometrical method by which we determine both the position of a sphere and its radius from its apparent image contour. Since our approach is based on coplanar viewing rays, it has a wider applicability w.r.t. the previous method, as it relaxes the constraint on camera position, i.e. it does not require a precise alignment, and the constraint on mirror axial symmetry, i.e. it can be applied to a wider class of mirrors. Some preliminary experiments both on simulated and real image are also presented.
Keywords :
cameras; geometry; image processing; camera pinhole; catadioptric image; coplanar viewing rays; geometrical method; image contour; noncentral catadioptric camera; off-axis catadioptric cameras; sphere localization; Cameras; Data mining; Feature extraction; Image reconstruction; Indexing; Information analysis; Mirrors; Mobile robots; Object detection; Robot vision systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision, 2007. ICCV 2007. IEEE 11th International Conference on
Conference_Location :
Rio de Janeiro
ISSN :
1550-5499
Print_ISBN :
978-1-4244-1630-1
Electronic_ISBN :
1550-5499
Type :
conf
DOI :
10.1109/ICCV.2007.4409206
Filename :
4409206
Link To Document :
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