A Study on Computer Vision: Techniques, Algorithms and Application

Authors

  • Chaitanya Deshpande

DOI:

https://doi.org/10.37591/jocta.v13i1.913

Keywords:

Computer vision, algorithms, 3D modelling, CNN, machine learning

Abstract

This study gives a brief explanation or idea about what computer vision is and how it is implemented. Computer vision has so many different applications which are being used and are also under development for future enhancements. All this information can be found here in this research work. Computer vision is a branch of computer science that aimed at developing digital system, which is capable of processing, analysing, and comprehending visual data (images or videos) in the same way as the humans do. The concept of computer vision is based on teaching computers to process and understand images at the pixel level. Functionally, machines use special software algorithms to retrieve visual information, process it, and interpret the results. We are attempting to do the inverse in computer vision, i.e., to describe the world that we see in one or more images and reconstruct its properties such as shape, illumination, and color distributions. It is incredible that humans and animals can do this so effortlessly, whereas computer vision algorithms are notoriously prone to errors. People who have not worked in the field, frequently underestimate the problem's difficulty. Computer vision researchers have been developing mathematical methods to restore the threedimensional shape and appearance of objects in an imagery at the same time. We now have reliable methods for generating a partial 3D model of an environment from thousands of partially overlapping photographs.

References

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Published

2022-06-10

Issue

Vol. 13 No. 1 (2022)

Section

Articles

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