Keypoint types are the main fundamental types in ImageFeatures.jl.
Feature stores the
keypoint and its
scale. A vector of the
Feature type is denoted by the
Features type and similary a vector of
Keypoint type is denoted by the
Keypoints type. We provide multiple methods for easily transitioning between the two types.
Features can be generated from an image of boolean values by
Features(boolean_image) where the boolean_image may be obtained from a feature detection algorithm for, e.g., the result of a corner detector. All feature detectors in ImageFeatures.jl directly return
A keypoint may be converted to a feature or vice versa by directly passing it to the respective method eg.
descriptor, ret_keypoints = create_descriptor(img, params) descriptor, ret_keypoints = create_descriptor(img, keypoints, params)
Depending on the algorithm , the
create_descriptor API can be used to directly create a feature descriptor from the image (eg. ORB, BRISK) or from the keypoints (eg. BRIEF, FREAK). In case of the latter, the keypoints can be obtained using algorithms such as FAST. The
params argument is dependent on the algorithm chosen and its type is the name of the algorithm.