Abstract
For the submission from the University of Glasgow for the ImageCLEF 2009 Robot Vision Task a large set of interesting points were extracted using an edge corner detector, these points were used to represent each image. The RANSAC method [1] was then applied to estimate the similarity between test and training images based on the number of matched pairs of points. The location of robot was then annotated based on the training image which contains the highest number of matched point pairs with the test image. A set of decision rules with the respect to the trajectory behaviour of robot’s motion were defined to refine the final results. An illumination filter was also applied for two of the runs in order to reduce the illumination effect.
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References
Lu, L., Dai, X., Hager, G.: Efficient particle filtering using RANSAC with application to 3D face tracking. Image and Vision Computing 24(6) (January 2006)
Caputo, B., Pronobis, A., Jensfelt, P.: Overview of the CLEF 2009 robot vision track. In: Peters, C. (ed.) CLEF 2009, LNCS, vol. 6242, pp. 110–119. Springer, Heidelberg (2010)
Luo, J., Pronobis, A., Caputo, B., Jensfelt, P.: Incremental learning for place recognition in dynamic environments. In: Proc. IROS (2007)
Zhong, H.X., Pang, Y.J., Feng, Y.P.: A new approach to estimating fundamental matrix. Image and Vision Computing 24(1) (2006)
Harris, C., Stephens, M.: A combined Corner and Edge Detector. In: Proc. Alvey Conf. (1987)
Rahman, Z., Jobson, D.J.: Retinex processing for automatic image enhancement. Journal of Electronic Imaging 13(1) (2004)
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Feng, Y., Halvey, M., Jose, J.M. (2010). University of Glasgow at ImageCLEF 2009 Robot Vision Task: A Rule Based Approach. In: Peters, C., et al. Multilingual Information Access Evaluation II. Multimedia Experiments. CLEF 2009. Lecture Notes in Computer Science, vol 6242. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15751-6_38
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DOI: https://doi.org/10.1007/978-3-642-15751-6_38
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-15750-9
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