Modern Approaches in Computer Vision: Techniques and Real-World Applications
Keywords:
Computer vision, image processing, feature detection, object recognition, machine learning, deep learning, applications, challenges, ethics, future directions.Abstract
Computer vision plays a pivotal role in modern technology, enabling machines to interpret andunderstand the visual world. This paper provides an overview of key algorithms andapplications in computer vision. Beginning with fundamental techniques such as imageprocessing, feature detection, and object recognition, it progresses to advanced methodologiesincluding machine learning
References
Chen, X., & Liu, Y. (2014). Keypoint Detection Techniques: A Review. Journal of Computer Vision Research, 5(2), 50-67.
Choudhury, S., & Iyer, M. (2015). Hardware Acceleration for Deep Learning: A Review. Journal of Computer Hardware Engineering, 7(2), 60-73.
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Published
2024-02-07
How to Cite
Dr. Uruj Jaleel,Dr. Abhijeet Madhukar Haval. (2024). Modern Approaches in Computer Vision: Techniques and Real-World Applications. Journal of Computational Analysis and Applications (JoCAAA), 33(2), 1400–1408. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/2554
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