提交 9c12cc6b 编写于 作者: M Maria Dimashova

added doc on DenseFeatureDetector (#1311)

上级 bf128550
......@@ -309,6 +309,34 @@ Wrapping class for feature detection using the
protected:
...
};
DenseFeatureDetector
--------------------
.. ocv:class:: DenseFeatureDetector
Class for generation of image features which are distributed densely and regularly over the image. ::
class DenseFeatureDetector : public FeatureDetector
{
public:
DenseFeatureDetector( float initFeatureScale=1.f, int featureScaleLevels=1,
float featureScaleMul=0.1f,
int initXyStep=6, int initImgBound=0,
bool varyXyStepWithScale=true,
bool varyImgBoundWithScale=false );
protected:
...
};
The detector generates several levels (in the amount of ``featureScaleLevels``) of features. Features of each level are located in the nodes of a regular grid over the image (excluding the image boundary of given size). The level parameters (a feature scale, a node size, a size of boundary) are multiplied by ``featureScaleMul`` with level index growing depending on input flags, viz.:
* Feature scale is multiplied always.
* The grid node size is multiplied if ``varyXyStepWithScale`` is ``true``.
* Size of image boundary is multiplied if ``varyImgBoundWithScale`` is ``true``.
SimpleBlobDetector
-------------------
......
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