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|Title:||Fast implementation of scale-space by interpolatory subdivision scheme|
|Authors:||Wang, Y.-P. |
|Citation:||Wang, Y.-P., Qu, R. (1999-09). Fast implementation of scale-space by interpolatory subdivision scheme. IEEE Transactions on Pattern Analysis and Machine Intelligence 21 (9) : 933-939. ScholarBank@NUS Repository. https://doi.org/10.1109/34.790434|
|Abstract:||While the scale-space approach has been widely used in computer vision, there has been a great interest in fast implementation of scale-space filtering. In this paper, we introduce an interpolatory subdivision scheme (ISS) for this purpose. In order to extract the geometric features in a scale-space representation, discrete derivative approximations are usually needed. Hence, a general procedure is also introduced to derive exact formulae for numerical differentiation with respect to this ISS. Then, from ISS, an algorithm is derived for fast approximation of scale-space filtering. Moreover, the relationship between the ISS and the Whittaker-Shannon sampling theorem and the commonly used spline technique is discussed. As an example of the application of ISS technique, we present some examples on fast implementation of λτ-spaces as introduced by Gokmen and Jain, which encompasses various famous edge detection filters. It is shown that the ISS technique demonstrates high performance in fast implementation of the scale-space filtering and feature extraction.|
|Source Title:||IEEE Transactions on Pattern Analysis and Machine Intelligence|
|Appears in Collections:||Staff Publications|
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