Computer Vision

Vision is a sensory perception of animals. In humans, vision is done by the organ called eye. The light that enters the eye is transformed to electrical synapses and sent to the brain through which the brain gives the sense of vision to the person. Furthermore, the human eye is very knowledgeable in that it rearranges some things that may seem confusing at first so as to actually give a concrete object to be visualized.

With computers, vision is done using cameras and still pictures. Video recording is actually done by moving pictures at a very fast rate that the eye eventually restructures the images into motion pictures. Computer vision involves heavy image processing and data analysis on the input images. Its applications are wide-ranging and have very important implications in today technologies. For example, fingerprint recognition is an example of computer vision application. Each groove of the fingerprint is entered into the database and being compared to a test fingerprint. The machine should be able to extract the exact fingerprint and categorize the image for their differences to the one in the database. Industrial applications of computer vision involve camera-controlled product selector and segregator, mobots that can see the road and act accordingly if ever obstacles and lane changes happen, servos that can move according to video entering through cameras. Such are just part of the extensive examples of computer vision applications.

For beginners, they can opt to use OpenCV libraries for the IDE of Microsoft Visual C++. This application has the advantage of giving the learner a good idea of how computer vision is actually done.

Posted 2011-01-29 and updated on Jun 07, 2011 11:06pm by crisd

 Jun 07, 2011 11:06pmYou re the geratset! JMHO by Anisha
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