LYCOS RETRIEVER 
Vision (Artificial Intelligence): Computer Vision
built 275 days ago
Vision (Artificial Intelligence) also shows up in the Retriever categories:
Vision (Health) , and more.
Vision (Health) , and more.
Computer Vision is the science and technology of obtaining models, meaning and control information from visual data. The two main fields of computer vision are computational vision and machine vision. Computational vision has to do with simply recording and analyzing the visual perception, and trying to understand it. Machine vision has to do with using what is found from computational vision and applying it to benefit people, animals, environment, etc.
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Current work on Prithvi involves developing a compiler platform that supports Image Processing and Computer Vision algorithms. Prithvi has a webcam onboard connected a P4 processor. It has a multiple sensor network that is controlled by the compiler. The main task of the compiler is to enable a scalable architecture, hardware and software, on the robot. The compiler platform is being developed in C--. More....
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Artificial Intelligence ... uses computer vision to recognize handwriting text and drawings. Text typed down on a document can be read by the computer easily, but handwritten text cannot. Computer vision fixes this by converting handwritten figures into figures that can be used by a computer. An example is shown below. The attempted drawing of a rectangular prism resting on three other rectangular prism is converted by computer vision to a 3-D picture of the same thing, but in a format usable by the computer and more readable by users.
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Experiments demonstrate that the model is relevant to computer vision research because it presents a method of solving the problem of domain-specific knowledge in computer vision systems. The model ... demonstrates that many techniques for computer vision systems are suggested by the anatomy and physiology of the cat's visual system.
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Visit Vampire "a research project on cognitive computer vision which is funded by the European Union. On the one hand, it investigates Visual Active Memory Processes; its other important goal is to develop advanced techniques for Interactiv REtrieval
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Examples of AI problems are computer vision (building a system that can understand images as well as a human) and natural language processing (building a system that can understand and speak a human language as well as a human). These may appear to be modular, but all attempts so far (1993) to solve them have foundered on the amount of context information and "intelligence" they seem to require.
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Computer Vision