Detect features from an image with SURF algorithm
fobj = imdetect_SURF(im [,hessianThreshold [,nOctaves [,nOctaveLayers [,extended [,upright]]]]])
Input image
Threshold for hessian keypoint detector used in SURF. Default value is 1000.
Number of pyramid octaves the keypoint detector will use. Default value is 4.
Number of octave layers within each octave. Default value is 2.
Extended descriptor flag. Default value is 1.
Up-right or rotated features flag. Default value is 0.
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 SURF method
1. OpenCV 2.4 Online Documentation