46 lines
1.9 KiB
Plaintext
46 lines
1.9 KiB
Plaintext
---=== EDIT CONTOUR ===---
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AUTHOR
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Vincent Garcia
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DESCRIPTION
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The current directory contains functions allowing to extract keypoints
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also called "feature points", "corners", "interest points", etc.
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The following algorithm are provided :
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- Harris
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- SUSAN
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- Harris-Laplace
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- Laplacian of Gaussian (LoG)
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- Gilles
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The input image must be a gray level image. The output is a matrix of
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dimension Nx2 or Nx3 with N the number of keypoints extracted. The first
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column gives the row poisition of the keypoints and the second column
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gives the column position of the keypoints. The third column gives
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the feature scale of the keypoints. This scale corresponds to the radius
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of the local neighborhood to consider. Note that the SUSAN algorithm is
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a contribution of Joaquim Luis.
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Run the test function to see an example.
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The picture "door" was taken by Aleksandra Radonic'.
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The picture "sunflower" was taken by Candy Torres.
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The picture "patrol" was taken by Markus Schöpke.
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LEGAL
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1. The enclosed function can be freely reused under a Creative Commons
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License (http://creativecommons.org/licenses/by-nc-sa/2.0) :
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You are free:
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* to Share — to copy, distribute and transmit the work
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* to Remix — to adapt the work
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Under the following conditions:
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* Attribution. You must attribute the work in the manner specified
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by the author or licensor (but not in any way that suggests that
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they endorse you or your use of the work).
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* Noncommercial. You may not use this work for commercial purposes.
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* Share Alike. If you alter, transform, or build upon this work, you
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may distribute the resulting work only under the same or similar
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license to this one.
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2. The pictures provided were choosen on flickr.com. These pictures can be
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freely reused under a Creative Commons License. The authors are Aleksandra Radonic',
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Candy Torres, and Markus Schöpke. |