Commit c330a18d authored by kberry's avatar kberry
Browse files

Updated documentation - inserted citations

parent 3527f590

autocnet/matcher/outlier_detector.py

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@@ -153,7 +153,7 @@ def compute_homography(kp1, kp2, outlier_algorithm=cv2.RANSAC, reproj_threshold= 
# TODO: CITATION and better design?

def adaptive_non_max_suppression(keypoints, n=100, robust=0.9):

    """

    Select the top n keypoints, using Adaptive Non-Maximal Suppression

    Select the top n keypoints, using Adaptive Non-Maximal Suppression (see: Brown (2005) [Brown2005]_)

    to rank the keypoints in order of largest minimum suppression

    radius. A mask with only the positions of the top n keypoints set to 1 (and all else set to 0) is returned.

docs/references.rst

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@@ -3,4 +3,5 @@ 
References

==========



.. [Lowe2003] Lowe, David G. (2004). Distinctive Image Features from Scale-Invariant Keypoints. International Journal of Computer Vision. 60 (2), p. 91 - 110.
 
.. [Lowe2004] Lowe, David G. (2004). Distinctive Image Features from Scale-Invariant Keypoints. International Journal of Computer Vision. 60 (2), p. 91 - 110.

.. [Brown2005] Brown, M., Szeliski, R., and Widner, S. (2005). Multi-image matching using multi-scale oriented patches. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005). p. 510-517
 
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