traditional computer vision
How do you use computer vision? What do computer vision engineers do?
Computer vision, or the ability of artificially intelligent systems to “see” like humans, has been a subject of increasing interest and rigorous research now. As a way of emulating the human visual system, the research in the field of computer vision purports to develop machines that can automate tasks that require visual cognition. However, the process of deciphering images, due to the significantly greater amount of multi-dimensional data that needs analysis, is much more complex than understanding other forms of binary information. This makes developing AI systems that can recognize visual data more complicated.
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The first approach is coined ”traditional computer vision” and refers to using com- monly known feature descriptors (SIFT, SURF, BRIEF, etc.) for object detection alongside common machine learning al- gorithms (Support Vector Machine, K-Nearest Neighbor) for prediction.