Computer vision is the science and technology of machines that see.
As a scientific discipline, computer vision is concerned with the theory and technology for building artificial systems that obtain information from images or multi-dimensional data. Information, as defined by Shannon, is that which ...
An image retrieval system is a computer system for browsing, searching and retrieving images from a large database of digital images. Most traditional and common methods of image retrieval utilize some method of adding metadata such as captioning, keywords, or descriptions to the images so that retrieval ...
Automatic image annotation (also known as automatic image tagging) is the process by which a computer system automatically assigns metadata in the form of captioning or keywords to a digital image. This application of computer vision techniques is used in image retrieval systems to organize and locate ...
A robot is an artificial or virtual agent which in the physical form gives the appearance of being alive.
The artificial form (the physical agent) is an electro-mechanical or bio-mechanical device or group of devices that can perform autonomous or preprogrammed tasks while interacting with its surrounding ...
A visual sensor network is a network of spatially distributed smart camera devices capable of processing and fusing images of a scene from a variety of viewpoints into some form more useful than the individual images. A visual sensor network may be a type of wireless sensor network, and much of the ...
A smart camera is an integrated machine vision system which, in addition to image capture circuitry, includes a processor, which can extract information from images without need for an external processing unit, and interface devices used to make results available to other devices.
A Smart Camera or ...
Optical character recognition, usually abbreviated to OCR, is a type of computer software designed to translate images of handwritten or typewritten text (usually captured by a scanner) into machine-editable text, or to translate pictures of characters into a standard encoding scheme representing them ...
Boosting is a machine learning meta-algorithm for performing supervised learning. Boosting occurs in stages, by incrementally adding to the current learned function. At every stage, a weak learner is trained with the data. The output of the weak learner is then added to the learned function, ...
In the area of computer vision, 'blob detection' refers to visual modules that are aimed at detecting points and/or regions in the image that are either brighter or darker than the surrounding. There are two main classes of blob detectors (i) differential methods based on derivative expressions and ...
In computer vision and image processing the concept of feature is used to denote a piece of information which is relevant for solving the computational task related to a certain application. More specifically, features can refer to the result of a general neighborhood operation (feature extractor or ...
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