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Determining Shot Accuracy of a Robotic Pool System
Quebec City, Quebec, Canada June 07-June 09
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CRV.2006.27The 3rd Canadian Conference on Comput ...
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Joseph Lam, Queen?s University, Kingston, Canada
Fei Long, Queen?s University, Kingston, Canada
Gerhard Roth, National Research Council of Canada
Michael Greenspan, Queen?s University, Kingston, Canada

A process is described to determine the shot accuracy of an automatic robotic pool playing system. The system comprises a ceiling-mounted gantry robot, a special purpose cue end-effector, a ceiling-mounted camera, and a standard bar pool table.

Two methods are compared for extracting the homography between the camera and the table plane. A challenge was the relatively large area of the table surface, which required a similarly large chessboard pattern to determine the point homography. In contrast, the Dual Conic method required only a set of orthogonal lines as a calibration target, which was more convenient to manipulate, and could be calculated from the integration of multiple images with multiple target locations. The Dual Conic method was shown experimentally to recover the homography with a similar, and sometimes greater accuracy than the Chessboard method.

An experimental procedure was devised to measure the accuracy of an automatic shot using a sequence of images acquired from the overhead camera. For a set of 10 shots, the average absolute angular error in placing a shot was determined to be 0.74^0, with a standard deviation of 0.96^0.

Citation:
Joseph Lam, Fei Long, Gerhard Roth, Michael Greenspan, "Determining Shot Accuracy of a Robotic Pool System," crv, pp.23, The 3rd Canadian Conference on Computer and Robot Vision (CRV'06), 2006
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