COMPUTER VISION

 Computer Vision is the branch of Computer Science whose goal is to model the real world or to recognize objects from digital images. These images can be acquired using video or infrared cameras, radars or specialized sensors such as those used by doctors, scientist, geologist etc.

Vision is a most powerful interfacing device for computers. They have the potential to sense body movements and their position, head orientation, direction of the body, and gestures.

When the vision based interaction is established with the machine, they could make  the interaction between both of us enjoyable or safer. The algorithms for the computer vision should be reliable, work for different people, and work in odd conditions. The responding time of these algorithms should be very fast. The user should sense delay between when he moves or make gesture and when computer responds.

The student will understand the basic techniques of the field of Computer Vision. We will also discuss what are the technical challenges and applications for this approach with examples. You will also learn the use of computer vision in computer graphics to make interactive and effective.

Here we discussed about computer vision and their application fields. Started with computer vision introduction we move to the different goals of computer vision in today’s era. Here we covered up all the applications area of computer vision where it is used. The application area is very wide most of the area used this technology according to their need such as medical, industry, military, automobiles etc. After all of this, they have some issues which are very difficult to solve. The basic technical problems related to the computer vision are face detection, occlusion, illumination, recognition are major problems. Here we covered up advantages of using computer vision.

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