What Are Feature Descriptors In Image Processing?

What Are Feature Descriptors In Image Processing? A feature descriptor is an algorithm which takes an image and outputs feature descriptors/feature vectors. Feature descriptors encode interesting information into a series of numbers and act as a sort of numerical “fingerprint” that can be used to differentiate one feature from another. What is features in image

What Is The Difference Between Global And Local Descriptors?

What Is The Difference Between Global And Local Descriptors? Global descriptors are generally used in image retrieval, object detection and classification, while the local descriptors are used for object recognition/identification. There is a large difference between detection and identification. What is the difference between local and global features? Relevant feature (global or local) contains discriminating