Detect features from an image with FAST algorithm. Usually used for corner features.
fobj = imdetect_FAST(im [,th [,nmS [,nb]]]);
Input image
threshold on difference between intensity of the central pixel and pixels of a circle around this pixel. Default value is 1.
nonmaxSuppression, if 1, non-maximum suppression is applied to detected corners (keypoints). Default value is 1.
one of the three neighborhoods, TYPE_5_8 = 0, TYPE_7_12 = 1, TYPE_9_16 = 2. Default value is 2.
Features object contains following fields -
Type of features
Numbers of detected features
Coordinates of the detected features - X
Coordinates of the detected features - Y
Size of detected features
keypoint orientation
The response by which the most strong keypoints have been selected.
pyramid octave in which the keypoint has been detected
object id
This function used to detect the features of an image using FAST method.Good for corner detection.
1. OpenCV 2.4 Online Documentation
2. Rosten. Machine Learning for High-speed Corner Detection, 2006.