Directional derivative

Known as: Normal derivative 
In mathematics, the directional derivative of a multivariate differentiable function along a given vector v at a given point x intuitively represents… (More)
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Papers overview

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2013
2013
This paper proposes a corner detector and classifier using anisotropic directional derivative (ANDD) representations. The ANDD… (More)
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2013
2013
We study the set disjointness problem in the most powerful model of bounded-error communication, the k-party randomized number-on… (More)
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2011
2011
Local binary pattern (LBP) is a simple and efficient operator to describe local image pattern. It could be regarded as a binary… (More)
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Highly Cited
2003
Highly Cited
2003
The capacity of ad hoc wireless networks is constrained by the interference between concurrent transmissions from neighboring… (More)
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Highly Cited
1997
Highly Cited
1997
We describe a framework for the design of directional derivative kernels for two-dimensional discrete signals in which we… (More)
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Highly Cited
1995
Highly Cited
1995
We describe an architecture for efficient and accurate linear decomposition of an image into scale and orientation subbands. The… (More)
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1987
1987
Accurate edge direction information is required in many image processing applications. A variety of operators for computing local… (More)
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Highly Cited
1986
Highly Cited
1986
Edge detection is the process that attempts to characterize the intensity changes in the image in terms of the physical processes… (More)
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Highly Cited
1984
Highly Cited
1984
We use the facet model to accomplish step edge detection. The essence of the facet model is that any analysis made on the basis… (More)
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Highly Cited
1982
Highly Cited
1982
David marr's writing style is owned, by the word you can. Whatever the book would not store any files on area of segmented… (More)
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