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Vol: 51(65) No: 2 / June 2006         Performance Analysis of Point Features using Image Sequences with Controlled Motion Adrian Burlacu Department of Automatic Control and Applied Informatics , Gh. Asachi Technical University of Iasi, Blvd. Mangeron 53A, 700050 Iasi, Romania, e-mail: aburlacu@ac.tuiasi.ro Corneliu Lazar Department of Automatic Control and Applied Informatics , “Gh. Asachi “ Technical University of Iasi, Blvd. Mangeron 53A, 700050 Iasi, Romania, e-mail: clazar@ac.tuiasi.ro Keywords: point feature, corner detectors, performance analysis, controlled motion. Abstract In this paper the performance evaluation of three low-level feature algorithms is presented. The features are points with the property of being corners in 2D monochrome image. The criteria used for assessment are: number of corners detected per frame, number of stable corner, corner stability. For effective measurement of the feature detectors, image sequences with controlled motion are employed, so that the appearance and disappearance of corners in each frame is purely due to imaging conditions produced by object movement. From experiments it is determined which detecting algorithm gives the best results. References [1] P.Tissainayagam and D. Suter, “Assessing the performance of corner detectors for point feature tracking applications”, Image and Vision Computing, vol 22, 2004. [2] C. Schmid, R. Mohr and C. Bauckhage, “Evaluation of interest point detectors”, International Journal of Computer Vision, vol. 37(2), pp 151-172, 2000. [3] P.Brand and R.Mohr, “Accuracy in image measure”, in Proc of the SPIE Conference on Videometrics III, Boston, Massachusetts, 1994. [4] C.Tomasi and T.Konade, “Detedtion and Tracking of Point Features”, Carnegie Mellon University, Tech. Report CMU-CS-91-132, 1991. [5] L. Dron, "Dynamic Camera Self-Calibration from Controlled Motion Sequences", in Proc. IEEE Conf. on Computer Vision and Pattern Recognition, pp. 501-506, 1993. [6] L.Shapiro and G.Stockman, “Computer Vision”, Prentice Hall, 2000. [7] C. Harris and M. Stephens, “A combined corner and edge detector”, in Proc. 4th Alrey Vision Conference, Manchester, pp.147-151, 1988. [8] S.M. Smith and J.M. Brady, "SUSAN - A new approach to low level image processing", International Journal of Computer Vision, vol.23(1), pp.45-78, 1997. [9] D A. Forsyth and J Ponce, “Computer Vision – A Modern Approach”, Prentice Hall, 2002. [10] M.S. Nixon and A.S. Aguado, “Feature Extraction and Image Processing”, Butterworth – Heinemann, 2001.