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override string | getDefaultName () |
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void | setSigma (float isigma) |
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float | getSigma () |
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void | setUseNormalizeImage (bool img_normalize) |
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bool | getUseNormalizeImage () |
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void | setUseScaleOrientation (bool use_scale_orientation) |
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bool | getUseScaleOrientation () |
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void | setScaleFactor (float scale_factor) |
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float | getScaleFactor () |
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void | setUseNormalizeDescriptor (bool dsc_normalize) |
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bool | getUseNormalizeDescriptor () |
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void | detect (Mat image, MatOfKeyPoint keypoints, Mat mask) |
| Detects keypoints in an image (first variant) or image set (second variant). More...
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void | detect (Mat image, MatOfKeyPoint keypoints) |
| Detects keypoints in an image (first variant) or image set (second variant). More...
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void | detect (List< Mat > images, List< MatOfKeyPoint > keypoints, List< Mat > masks) |
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void | detect (List< Mat > images, List< MatOfKeyPoint > keypoints) |
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void | compute (Mat image, MatOfKeyPoint keypoints, Mat descriptors) |
| Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant). More...
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void | compute (List< Mat > images, List< MatOfKeyPoint > keypoints, List< Mat > descriptors) |
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void | detectAndCompute (Mat image, Mat mask, MatOfKeyPoint keypoints, Mat descriptors, bool useProvidedKeypoints) |
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void | detectAndCompute (Mat image, Mat mask, MatOfKeyPoint keypoints, Mat descriptors) |
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int | descriptorSize () |
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int | descriptorType () |
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int | defaultNorm () |
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void | write (string fileName) |
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void | read (string fileName) |
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override bool | empty () |
| Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read. More...
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IntPtr | getNativeObjAddr () |
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virtual void | clear () |
| Clears the algorithm state. More...
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void | save (string filename) |
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void | Dispose () |
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void | ThrowIfDisposed () |
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static new VGG | __fromPtr__ (IntPtr addr) |
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static VGG | create (int desc, float isigma, bool img_normalize, bool use_scale_orientation, float scale_factor, bool dsc_normalize) |
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static VGG | create (int desc, float isigma, bool img_normalize, bool use_scale_orientation, float scale_factor) |
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static VGG | create (int desc, float isigma, bool img_normalize, bool use_scale_orientation) |
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static VGG | create (int desc, float isigma, bool img_normalize) |
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static VGG | create (int desc, float isigma) |
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static VGG | create (int desc) |
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static VGG | create () |
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static new Feature2D | __fromPtr__ (IntPtr addr) |
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static Algorithm | __fromPtr__ (IntPtr addr) |
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static IntPtr | ThrowIfNullIntPtr (IntPtr ptr) |
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Class implementing VGG (Oxford Visual Geometry Group) descriptor trained end to end using "Descriptor Learning Using Convex Optimisation" (DLCO) aparatus described in [Simonyan14].
desc type of descriptor to use, VGG::VGG_120 is default (120 dimensions float) Available types are VGG::VGG_120, VGG::VGG_80, VGG::VGG_64, VGG::VGG_48 isigma gaussian kernel value for image blur (default is 1.4f) img_normalize use image sample intensity normalization (enabled by default) use_orientation sample patterns using keypoints orientation, enabled by default scale_factor adjust the sampling window of detected keypoints to 64.0f (VGG sampling window) 6.25f is default and fits for KAZE, SURF detected keypoints window ratio 6.75f should be the scale for SIFT detected keypoints window ratio 5.00f should be the scale for AKAZE, MSD, AGAST, FAST, BRISK keypoints window ratio 0.75f should be the scale for ORB keypoints ratio
dsc_normalize clamp descriptors to 255 and convert to uchar CV_8UC1 (disabled by default)