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ComputerVision >> ComputerVision > cv_surf

cv_surf

To provide surf Feature Extraction

Calling Sequence

kp,des=cv_surf(image,hessianThreshold,Upright)

Arguments

image

Input Image (grayscale/rgb)

hessianThreshold

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

Upright

it is used to consider orientation. True-> would not consider orientaion , False->would consider orientation. Value must be either True or False

kp

Keypoints

des

descriptors

Description

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

Examples

[kp,des]=cv_surf(input_image,400,"True")

See Also


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