• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

A New Shape Adaptation Scheme to Affine Invariant Detector

Vol. 4, No.6, December 23, 2010
10.3837/tiis.2010.12.016, Download Paper (Free):

Abstract

In this paper, we propose a new affine shape adaptation scheme for the affine invariant feature detector, in which the convergence stability is still an opening problem. This paper examines the relation between the integration scale matrix of next iteration and the current second moment matrix and finds that the convergence stability of the method can be improved by adjusting the relation between the two matrices instead of keeping them always proportional as proposed by previous methods. By estimating and updating the shape of the integration kernel and differentiation kernel in each iteration based on the anisotropy of the current second moment matrix, we propose a coarse-to-fine affine shape adaptation scheme which is able to adjust the pace of convergence and enable the process to converge smoothly. The feature matching experiments demonstrate that the proposed approach obtains an improvement in convergence ratio and repeatability compared with the current schemes with relatively fixed integration kernel.


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Cite this article

[IEEE Style]
Congxin Liu, Jie Yang, Yue Zhou and Deying Feng, "A New Shape Adaptation Scheme to Affine Invariant Detector," KSII Transactions on Internet and Information Systems, vol. 4, no. 6, pp. 1253-1272, 2010. DOI: 10.3837/tiis.2010.12.016

[ACM Style]
Liu, C., Yang, J., Zhou, Y., and Feng, D. 2010. A New Shape Adaptation Scheme to Affine Invariant Detector. KSII Transactions on Internet and Information Systems, 4, 6, (2010), 1253-1272. DOI: 10.3837/tiis.2010.12.016