To provide surf Feature Extraction
kp,des=cv_surf(image,hessianThreshold,Upright)
Input Image (grayscale/rgb)
threshold determines how large the output from the Hessian filter must be in order for a point to be used as an interest point. It must be an integer value
it is used to consider orientation. True-> would not consider orientaion , False->would consider orientation. Value must be either True or False
Keypoints
descriptors
Speeded-Up Robust Features
SURF functionalities just like SIFT. You initiate a SURF object with some optional conditions like 64/128-dim descriptors, Upright/Normal SURF etc..for more information please see http://opencv-python-tutroals.readthedocs.org/en/latest/py_tutorials/py_feature2d/py_surf_intro/py_surf_intro.html