Computer Vision : Introduction
- The process of extraction of knowledge or information from images that are real world entities is known as the computer vision.
- It is the branch of machine learning and artificial intelligence that deals with absorption of information from digital images and videos.
- It is highly concerned with the auto extraction, understanding and analysis of useful data and information from a single image or sequence of images.
- It includes methods of acquiring, analyzing, processing and understanding images and videos.
- The sub domains of are:
Sub Domains : Computer Vision
Computer Vision : Working
- Initially, the object is stored on the basis of its attributes and properties.
- In the next step, a subset of attributes is selected whose values provide object grouping or clustering.
- Further, using selected attribute values object and class characterization models are learnt by forming generalized prototype description, rules of classification and decision functions.
Computer Vision : Working
- Then, with the stored models object features are stored and further refinement and adjustments can be performed in order to improve the quality and speed of object identification.
- Hence, computer vision tries to imitate the results of what human vision system is capable of.