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Recursive Gaussian Derivative Filters (1998)  (Make Corrections)  (7 citations)
Lucas J. van Vliet, Ian T. Young, Piet W. Verbeek



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Abstract: We propose a new strategy to design recursive implementations of the Gaussian filter and Gaussian regularized derivative filters. Each recursive filter consists of a cascade of two stable N -order subsystems (causal and anti-causal). The computational complexity is 2N multiplications per pixel per dimension independent of the size (s) of the Gaussian kernel. The filter coefficients have a closed-form solution as a function of scale (s) and recursion order N (N=3,4,5). The recursive filters... (Update)

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...4.1. 3 Recursive filters Di#erent recursive implementations of Gaussian filters have been proposed by Deriche [5] and by Vliet, Young and Verbeek [13]. To maintain shift invariance (or zero phase) the filter is implemented as a cascade of forward and backward di#erence...

.... derivatives can be computed very e#ciently because the kernels are separable, and highly accurate and e#cient recursive approximations exist [127]. Unfortunately, this is not generally true of rotated derivatives (Equation 3.3) Gaussian G 0 First derivative G Second derivative...

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0.2:   Local Energy Feature Tracing in Digital Images and Volumes - Robins (1999)   (Correct)
0.2:   Recursively Implementing the Gaussian and its Derivatives - Deriche (1993)   (Correct)
0.2:   Atomic Meshes: - From Seismic Imaging   (Correct)

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BibTeX entry:   (Update)

L. J. van Vliet, I. T. Young, and P. W. Ver- beek. Recursive Gaussian derivative filters. In Proc. lth International Conference on Pattern Recognition (ICPR'98), volume 1, pages 509514. IEEE Computer Society Press, Aug. 1998. http://citeseer.ist.psu.edu/vanvliet98recursive.html   More

@misc{ vliet98recursive,
  author = "L. van Vliet and I. Young and P. beek",
  title = "Recursive Gaussian derivative filters",
  text = "L. J. van Vliet, I. T. Young, and P. Verbeek. Recursive Gaussian derivative
    filters. In Proc. l4th International Conference on Pattern Recognition (ICPR'98),
    volume 1, pages 509-514. IEEE Computer Society Press, Aug. 1998.",
  year = "1998",
  url = "citeseer.ist.psu.edu/vanvliet98recursive.html" }
Citations (may not include all citations):
1120   Handbook of Mathematical Functions (context) - Abramowitz, Stegun - 1965
1080   A computational approach to edge detection - Canny - 1986
359   Scale-space filtering (context) - Witkin - 1983
190   The structure of images (context) - Koenderink - 1984
88   Signal Analysis (context) - Papoulis - 1977
46   Recursively implementing the Gaussian and its derivatives - Deriche - 1992
44   Fast algorithms for low--level vision - Deriche - 1990
18   Adaptive multidimensional filtering (context) - Haglund - 1992
12   Recursive implementation of the Gaussian filter - Young, van Vliet - 1995
10   Grey-Scale Measurements of MultiDimensional Digitized Images (context) - van Vliet - 1993
7   Estimators for orientation and anisotropy in digitized image.. (context) - van Vliet, Verbeek - 1995
7   NJ: Prentice--Hall (context) - Oppenheim, Willsky - 1983
4   Separable recursive filtering for efficient multi--scale edg.. (context) - Deriche - 1987
1   the localization error of curved edges in low-pass filtered .. (context) - Verbeek, van Vliet - 1994



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