Abstract
This paper presents a method for estimating positions of solid balls from images which are captured using a handy camera moving around the pool table. Since the camera moves around by hand in this method, the motion of the camera in 3D space should be estimated. For the camera motion estimation, a homography is calculated by extracting the green felt region of the table-top area that is approximated to a polygon. Then, the balls are extracted from the table-top region for obtaining the positions of the balls. The 3D position of each ball is estimated using a projection matrix determined by the homography. The ball areas are classified by distribution of RGB data in each area. We apply our method to image sequences taken with a handy camera for evaluating the accuracy of the ball position estimation. By this experiment, we confirm that the accuracy of the estimated position is up to 18mm error, which is sufficiently small for displaying the strategy information in the pool supporting system.
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References
Jebara, T., et al.: Stochastics: Augmenting the Billiards Experience with Probabilistic Vision and Wearable computers. In: Proc. of ISWC, pp. 138–145 (1997)
Larsen, L.B., et al.: The Automated Pool Trainer - A multi modal system for learning the game of Pool. In: Proc. of ICIMADE, pp. 90–96 (2001)
Larsen, L.B., Brondsted, T.: A Multi Modal Pool Trainer. In: Proc. of IPNMD, pp. 107–111 (2001)
Larsen, L.B., Jensen, M.D., Vodzi, W.K.: Multi Modal User Interaction in an Automatic Pool Trainer. In: 4th IEEE ICMI, pp. 361–366 (2002)
Chua, S.C., Wong, E.K., Koo, V.C.: Pool Balls Identification and Calibration for a Pool Robot. In: Int. Conf. on ROVISP, pp. 312–315 (2003)
Chua, S.C., Wong, E.K., Koo, V.C.: Simulation of A Robotic Pool. M2USIC (2004)
Chua, S.C., et al.: Decision Algorithm for Pool Using Fuzzy System. In: Proc. of iCAiET, pp. 370–375 (2002)
Alian, M.E., et al.: Roboshark: a Gantry Pool Player Robot. In: 35th ISR (2004)
Simon, G., Fitzgibbob, A.W., Zisserman, A.: Markerless tracking using planar structures in the scene. In: Proc. of the ISAR, pp. 120–128 (2000)
Simon, G., Berger, M.: Reconstructing while registering: a novel approach for markerless augmented reality. In: Proc. of the ISMAR, pp. 285–294 (2002)
Uematsu, Y., Saito, H.: Vision-based Registration for Augmented Reality with Integration of Arbitrary Multiple Planes. In: 13th ICIAP, pp. 155–162 (2005)
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Uchiyama, H., Saito, H. (2006). Position Estimation of Solid Balls from Handy Camera for Pool Supporting System. In: Chang, LW., Lie, WN. (eds) Advances in Image and Video Technology. PSIVT 2006. Lecture Notes in Computer Science, vol 4319. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11949534_39
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DOI: https://doi.org/10.1007/11949534_39
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-68297-4
Online ISBN: 978-3-540-68298-1
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