# A Computational Approach to Edge Detection

##### Citations

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### Cites background from "A Computational Approach to Edge De..."

...Other traditional matching costs include normalized cross-correlation [51, 93, 19], which behaves similar to sumof-squared-differences (SSD), and binary matching costs (i.e., match / no match) [73], based on binary features such as edges [4, 50, 27 ] or the sign of the Laplacian [82]....

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##### References

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### "A Computational Approach to Edge De..." refers background or methods in this paper

...This is similar to the selection criterion proposed by Marr and Hildreth [18] for choosing between different Laplacian of Gaussian channels....

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...In fact, a one-dimensional Marr-Hildreth edge detector is almost identical with the operator we have derived because maxima in the output of a first derivative operator will correspond to zero-crossings in the Laplacian operator as used by Marr and Hildreth....

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...The effect of the window function becomes very marked for large operator sizes and it is probably the biggest single reason why operators with large support were not practical until the work of Marr and Hildreth on the Laplacian of Gaussian....

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...Directional operators very much like the ones we have derived were suggested by Marr [17], but were discarded in favor of the Laplacian of Gaussian [18]....

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...There are also strong links with the Laplacian of Gaussian operator suggested by Marr and Hildreth [18]....

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### "A Computational Approach to Edge De..." refers methods in this paper

...It is also possible to include additional constraints by using a penalty method [15]....

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### Additional excerpts

...Shape from motion [29], [13] can be used to infer the structure of three-dimensional objects from the motion of edge contours or edge points in the image plane....

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