pub fn fast_for_point_set_def(
image: &impl ToInputArray,
keypoints: &mut Vector<KeyPoint>,
threshold: i32,
) -> Result<()>Expand description
Estimates cornerness for prespecified KeyPoints using the FAST algorithm
§Parameters
- image: grayscale image where keypoints (corners) are detected.
- keypoints: keypoints which should be tested to fit the FAST criteria. Keypoints not being detected as corners are removed.
- threshold: threshold on difference between intensity of the central pixel and pixels of a circle around this pixel.
- nonmaxSuppression: if true, non-maximum suppression is applied to detected corners (keypoints).
- type: one of the three neighborhoods as defined in the paper: FastFeatureDetector::TYPE_9_16, FastFeatureDetector::TYPE_7_12, FastFeatureDetector::TYPE_5_8
Detects corners using the FAST algorithm by Rosten06 .
§Note
This alternative version of fast_for_point_set function uses the following default values for its arguments:
- nonmax_suppression: true
- typ: FastFeatureDetector::TYPE_9_16