Feature matching wiki

1. What is feature based matching?
2. What do you mean by feature detection?
3. What is a feature in image processing?
4. Which algorithm is used for feature detection?

What is feature based matching?

1. The process for the comparison of two sets of keypoints coming from two different images or video frames. The process compares the description of each keypoint of the first image (or frame) with each keypoint of the second image (or frame). A rank algorithm establishes a list of the best matching between them.

What do you mean by feature detection?

Feature detection is a low-level image processing operation. That is, it is usually performed as the first operation on an image, and examines every pixel to see if there is a feature present at that pixel.

What is a feature in image processing?

Features are parts or patterns of an object in an image that help to identify it. For example — a square has 4 corners and 4 edges, they can be called features of the square, and they help us humans identify it's a square. Features include properties like corners, edges, regions of interest points, ridges, etc.

Which algorithm is used for feature detection?

Harris corner detection algorithm is used to detect corners in an input image. This algorithm has three main steps. Determine which part of the image has a large variation in intensity as corners have large variations in intensities. It does this by moving a sliding window throughout the image.