Point Pattern Recognition

1. What is a point pattern recognition?
2. What is pattern recognition with example?
3. What are the types of pattern recognition?
4. What are different tools for pattern recognition?

What is a point pattern recognition?

Point pattern matching problem is an important task of computer vision and pattern recognition. It is to find a good correspondence between two point sets in m-dimensional space. In general, it can be classified into two kinds. One is that the point number of the two point sets is the same.

What is pattern recognition with example?

Pattern recognition has a variety of applications, including image processing, speech and fingerprint recognition, aerial photo interpretation, optical character recognition in scanned documents such as contracts and photographs, and even medical imaging and diagnosis.

What are the types of pattern recognition?

There are three main types of pattern recognition, dependent on the mechanism used for classifying the input data. Those types are: statistical, structural (or syntactic), and neural. Based on the type of processed data, it can be divided into image, sound, voice, and speech pattern recognition.

What are different tools for pattern recognition?

Introduction Scatterplots Datasets Datafiles Mappings Classifiers Evaluation Crossvalidation Learning curves Feature curves Dimension reduction Combining classifiers Dissimilarities.