Pattern matching methods Based on Area and Based on features

1. What is feature based matching?
2. What is area based matching?
3. What is pattern matching what are the various methodologies used for it?
4. What is feature vs template matching?

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 is area based matching?

Area based methods sometimes called correlation like methods or template matching, merge the feature detection step with the matching part. These methods deal with the images without attempting to detect salient objects. Windows of predefined size is used for the estimation of correspondence.

What is pattern matching what are the various methodologies used for it?

Pattern matching algorithms are the algorithms that are used to figure out whether a specific string pattern occurs in a string text. Two of the most widely used pattern matching algorithms are the Naive Algorithm for pattern matching and the pattern matching algorithm using finite automata.

What is feature vs template matching?

Matches are measured using the intensity values of both the image and the template. On the other hand, the feature-based approach is used when both source and template images contain more correspondence with respect to features and control points.