Common interface of 2D image Feature Detectors.
Class for detecting keypoints in images.
Feature detectors in OpenCV have wrappers with a common interface that
enables you to easily switch between different algorithms solving the
same problem. All objects that implement keypoint detectors inherit the
FeatureDetector interface.
Example
detector = cv.FeatureDetector('ORB');
keypoints = detector.detect(img);
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addlistener |
Add listener for event. |
|
clear |
Clears the algorithm state |
|
delete |
Destructor |
|
detect |
Detects keypoints in an image or image set. |
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empty |
Checks if detector object is empty. |
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eq |
== (EQ) Test handle equality. |
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findobj |
Find objects matching specified conditions. |
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findprop |
Find property of MATLAB handle object. |
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ge |
>= (GE) Greater than or equal relation for handles. |
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getDefaultName |
Returns the algorithm string identifier |
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gt |
> (GT) Greater than relation for handles. |
Sealed
|
isvalid |
Test handle validity. |
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le |
<= (LE) Less than or equal relation for handles. |
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load |
Loads algorithm from a file or a string |
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lt |
< (LT) Less than relation for handles. |
|
ne |
~= (NE) Not equal relation for handles. |
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notify |
Notify listeners of event. |
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save |
Saves the algorithm parameters to a file |
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typeid |
Name of the C++ type (RTTI) |