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Abstract: This paper describes efficientschemes for the computation of a large number of differentely scaled/oriented filtered versions of an image. We generalize the well-known steerable/scalable ("deformable") filter bank structure by imposing X-Y separability on the basis filters. This systems, designed by an iterative projections technique, achieve substantial reduction of the computational cost. (Update)
Context of citations to this paper: More
...decomposition. Perona [4] studied the conditions for a kernel d(x; with continuous x and ) to be exactly steerable. One easily shows [7] that steerable filters are formally equivalent to multistage X Y separable structures, introduced by Treitel and Shanks [6] As in the...
...matrix depends on the dimensions of the matrix hence does not scale well. Another example is in the construction of steerable filters [5, 3, 4]. Given a filter OE(x; y) and a set of transformations T , the task is to find a set of basis filters Phi = fOE 1 ; OE k g...
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BibTeX entry: (Update)
Perona P. Manduchi, R. and Shy D. Efficient implementation of deformable filter banks. Technical Report CNS-TR-97-04, California Institute of Technology, 1997. Also available at http://www.vision.caltech.edu/manduchi/deformable.ps.Z. http://citeseer.ist.psu.edu/manduchi97efficient.html More
@misc{ manduchi97efficient,
author = "P. Manduchi and R. Shy",
title = "Efficient implementation of deformable filter banks",
text = "Perona P. Manduchi, R. and Shy D. Efficient implementation of deformable
filter banks. Technical Report CNS-TR-97-04, California Institute of Technology,
1997. Also available at http://www.vision.caltech.edu/manduchi/deformable.ps.Z.",
year = "1997",
url = "citeseer.ist.psu.edu/manduchi97efficient.html" }
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