COMPUTER VISION RETROSPECTIVE

Authors

  • Sardorbek Zokirov Webster University in Tashkent, Adjunct Faculty Author

Keywords:

Computer vision, machine learning, template search, artificial neural networks, deep learning.

Abstract

Significant growth in computer computing power and the emergence of new mathematical models and algorithms in recent years has made significant progress in the field of computer vision. New machine-based technologies enable you to create reliable solutions for complex visual image recognition tasks. Many of these solutions have practical applications in the market, and therefore attract more and more investment. This article is an overview of the basic approaches to solving computer vision problems, with a focus on deep machine learning and artificial neural networks. The article also provides an overview of market indicators in this area and shows that the computer vision market is developing rapidly and has serious prospects.

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References

Дэвид Форсайт, Жан Понс. Компьютерное зрение. Современный подход = Computer Vision: A Modern Approach. — М.: «Вильямс», 2004.

Л. Шапиро, Дж. Стокман. Компьютерное зрение = Computer Vision.— М.: Бином. Лаборатория знаний, 2006.

Goodfellow, Y. Bengio, A. Courville. "Deep Learning Book", MIT Press,2016 http :// deeplearningbook.org.

M. Nielsen, "Neural Networks and Deep Learning", DetermintationPress, 2015 http://neuralnetworksanddeeplearning. com.

W. Dai, C. Dai, S. Qu, J. Li, S. Das "Very Deep Convolutional Neural Networks for Raw Waveforms", ICASSP, 2017

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Published

2024-06-01