added doc on DenseFeatureDetector (#1311)
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@ -309,6 +309,34 @@ Wrapping class for feature detection using the
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DenseFeatureDetector
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--------------------
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.. ocv:class:: DenseFeatureDetector
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Class for generation of image features which are distributed densely and regularly over the image. ::
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class DenseFeatureDetector : public FeatureDetector
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{
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public:
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DenseFeatureDetector( float initFeatureScale=1.f, int featureScaleLevels=1,
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float featureScaleMul=0.1f,
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int initXyStep=6, int initImgBound=0,
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bool varyXyStepWithScale=true,
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bool varyImgBoundWithScale=false );
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protected:
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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.:
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* Feature scale is multiplied always.
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* The grid node size is multiplied if ``varyXyStepWithScale`` is ``true``.
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* Size of image boundary is multiplied if ``varyImgBoundWithScale`` is ``true``.
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SimpleBlobDetector
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-------------------
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