Differentiate between feature detectors and descriptors
Question:
I was solving my Image Processing – Features descriptors when I came across this problem. I could not understand the difference between image detectors and descriotors
I tried googling but could not get any clear differences.
Answers:
A feature detector merely finds features (of some desired kind) in an image. There is little that you can do with just a list of where features were found.
A feature descriptor characterizes a feature by geometric (size, orientation, shape, …) or radiometric quantities (lightness, saturation variance, local structure tensor…): it describes the feature by means of a list of numerical properties. Descriptors allow to match features from different sources, for example for tasks such as registration.
I was solving my Image Processing – Features descriptors when I came across this problem. I could not understand the difference between image detectors and descriotors
I tried googling but could not get any clear differences.
A feature detector merely finds features (of some desired kind) in an image. There is little that you can do with just a list of where features were found.
A feature descriptor characterizes a feature by geometric (size, orientation, shape, …) or radiometric quantities (lightness, saturation variance, local structure tensor…): it describes the feature by means of a list of numerical properties. Descriptors allow to match features from different sources, for example for tasks such as registration.