The SURF type exposes the following members.
Properties
Name | Description | |
---|---|---|
AllocatedMemory |
Gets or sets a memory address allocated by AllocMemory.
(Inherited from DisposableObject.) | |
AllocatedMemorySize |
Gets or sets the byte length of the allocated memory
(Inherited from DisposableObject.) | |
CvPtr |
Native pointer of OpenCV structure
(Inherited from DisposableCvObject.) | |
DescriptorSize |
returns the descriptor size in float's (64 or 128)
| |
DescriptorType |
returns the descriptor type
| |
Extended |
false means that the basic descriptors (64 elements each) shall be computed.
true means that the extended descriptors (128 elements each) shall be computed
| |
HessianThreshold |
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.
| |
Info |
Algorithm information
(Inherited from Algorithm.) | |
InfoPtr |
Pointer to algorithm information (cv::AlgorithmInfo*)
(Overrides FeatureDetectorInfoPtr.) | |
IsDisposed |
Gets a value indicating whether this instance has been disposed.
(Inherited from DisposableObject.) | |
IsEnabledDispose |
Gets or sets a value indicating whether you permit disposing this instance.
(Inherited from DisposableObject.) | |
Name |
Returns the algorithm name
(Inherited from Algorithm.) | |
NOctaveLayers |
The number of images within each octave of a gaussian pyramid. It is set to 2 by default.
| |
NOctaves |
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.
| |
Upright |
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.
|
See Also