A Deep Learning Perspective of Computer Vision Algorithms

International Journal of Computer Science (IJCS) Published by SK Research Group of Companies (SKRGC).

Abstract

Abstract The field of computer science that deals with replicating the complex parts of the human visual system and getting the machines to mimic the brain for visual details present in the data is known as ‘Computer Vision’. CV is a very popular field that is used in almost all the domains that work with images and videos. It finds itself solving really complex problems in a simple manner and it is easy to train and work with as well. This paper, review the important tasks such as Classification, Segmentation and Object Recognition of CV and their deep learning algorithms which plays vital role on Computer Vision. Deep learning allows computational models of multiple processing layers to learn and represent data with multiple levels of abstraction mimicking how the brain perceives and understands the image.

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Keywords

Computer Vision: YOLO, Segmentation, Object Recognition, Convolutional Neural Network.