Computer Vision

on Saturday 22 June 2013
Computer Vision is a field of science that studies how computers can recognise the object being observed. The main purpose of science is how a computer can mimic the eye's ability to analyse images or objects. Computer Vision is a combination of Image Processing (related to the transformation of the image) and Pattern Recognition (relating to the identification of objects in the image).
How a computer can read the object? Spoken instructions include color computer (how many variations of a point), the limits and differences in color on certain parts, consistent points (corners), information area or shape, and intensity of physical movement or displacement. As for the supporting functions in the Computer Vision system is the image capture process (Image Acquisition), image processing (image processing), image data analysis (Image Analysis), understanding the process of image data (Image Understanding)
One example is from the Computer Vision Face Automatic Transfer. There are five stages in the processing of this technology. The first is the Face Detection (face detection to take area). This stage theory using Viola-Jones Detector. If the theory is analyse using the principle is not the face, then the process will be terminated immediately. The second stage is the Facial Feature Detection. Stage is using an Active Shape Model theory.The theory compares a form object point with respect to the other object. The next stage is the Face Alignment. Stage is wearing Homograph Estimation theory. The fourth stage is the Face Mask Reconstruction. And the last stage is the Face Transfer. At this stage, using the theory of Poisson Image Editing.
Computer Vision in my opinion a very good and important because it can help to learn what the deficiencies in humans. For example, only in people who have a deficiency in the eye / blindness. With Computer Vision added with audio technology, which has a blindness to recognise objects or digital images. Additionally this technology can also be used on robotic technology. For example, to create a robot that can recognise fire hazards and fire.
This video contains the research in computer vision from channel labtvonline.



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