Howtosignalprocessing
- What is feature descriptor?
- Which type of descriptors are used for image description?
- What are descriptors in computer vision?
- What are Keypoints and descriptors?
What is feature descriptor?
A feature descriptor is a method that extracts the feature descriptions for an interest point (or the full image). Feature descriptors serve as a kind of numerical “fingerprint” that we can use to distinguish one feature from another by encoding interesting information into a string of numbers.
Which type of descriptors are used for image description?
In computer vision, visual descriptors or image descriptors are descriptions of the visual features of the contents in images, videos, or algorithms or applications that produce such descriptions. They describe elementary characteristics such as the shape, the color, the texture or the motion, among others.
What are descriptors in computer vision?
In computer vision, image descriptors describe elementary characteristics such as shape, color, texture or motion of images, which are visual features of images [1,2]. Offering new image descriptors has been active research area and will help in increasing the performance of many tasks in computer vision.
What are Keypoints and descriptors?
Key-points should simply be points (x,y), imo. What describes a point and basically the region around it should be called a descriptor. Some keypoints mix those terms and they become points with an attached description vector, just like @rayryeng explained.
