__init__(self,
mask=[[-1, 0, 1]],
radius=9,
sigma=0.7,
k=0.04,
**kwargs)
(Constructor)
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Corner Detector
mask - first dirivitive filter radius - radius of the max filter
sigma - sigma of the smoothing gaussian. k - not sure what this
parameter means.
Passed to superclass: n - is the approximate number of points
requested. bin_size - the width and height of each bin in pixels.
corner_selector ('all', 'bins', or 'best') - stratagy for point
selection.
When corner_selector is set to bins, the image is subdivided in to
bins of size <bin_size>X<bin_size> pixels and an equal number
of points will be taken from each of those bins. This insures that
points are found in all parts of the image not just where the corners are
strongest.
This code is based on a function originally written for matlab.
Original matlab code by: Jingyu Yan and Marc Pollefeys Department of
Computer Science University of North Carolina at Chapel Hill
Converted to Python by: David Bolme Department of Computer Science
Colorado State Univerisity
- Overrides:
DetectorROI.DetectorROI.__init__
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