SURF Properties OpenCvSharp Class Library

The SURF type exposes the following members.

Properties

  NameDescription
Protected propertyAllocatedMemory
Gets or sets a memory address allocated by AllocMemory.
(Inherited from DisposableObject.)
Protected propertyAllocatedMemorySize
Gets or sets the byte length of the allocated memory
(Inherited from DisposableObject.)
Public propertyCvPtr
Native pointer of OpenCV structure
(Inherited from DisposableCvObject.)
Public propertyDescriptorSize
returns the descriptor size in float's (64 or 128)
Public propertyDescriptorType
returns the descriptor type
Public propertyExtended
false means that the basic descriptors (64 elements each) shall be computed. true means that the extended descriptors (128 elements each) shall be computed
Public propertyHessianThreshold
Threshold for the keypoint detector. Only features, whose hessian is larger than hessianThreshold are retained by the detector. Therefore, the larger the value, the less keypoints you will get. A good default value could be from 300 to 500, depending from the image contrast.
Public propertyInfo
Algorithm information
(Inherited from Algorithm.)
Public propertyInfoPtr
Pointer to algorithm information (cv::AlgorithmInfo*)
(Overrides FeatureDetectorInfoPtr.)
Public propertyIsDisposed
Gets a value indicating whether this instance has been disposed.
(Inherited from DisposableObject.)
Public propertyIsEnabledDispose
Gets or sets a value indicating whether you permit disposing this instance.
(Inherited from DisposableObject.)
Public propertyName
Returns the algorithm name
(Inherited from Algorithm.)
Public propertyNOctaveLayers
The number of images within each octave of a gaussian pyramid. It is set to 2 by default.
Public propertyNOctaves
The number of a gaussian pyramid octaves that the detector uses. It is set to 4 by default. If you want to get very large features, use the larger value. If you want just small features, decrease it.
Public propertyUpright
false means that detector computes orientation of each feature. true means that the orientation is not computed (which is much, much faster). For example, if you match images from a stereo pair, or do image stitching, the matched features likely have very similar angles, and you can speed up feature extraction by setting upright=true.
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