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A Survey on Advancements of AR in Deep Learning
Author Name : Nevil J Mehta, Srujan M Lokhande, Dr. Sejal Thakkar
ABSTRACT
Augmented reality is the technology where the objects in the real world are enhanced using computer-generated perceptual information. Its main aim is to combine various types of virtual objects with real visual content. AR includes overlaying visual objects, solving challenging computer vision tasks such as video-image analysis, image tracking especially for 3D objects and their estimated scene, and so many different types of sensational information over the internet.In this paper, we would like to elucidate how deep learning is related to AR technology and its accordance and special application with AR. These days AR/VR technology is escalating at a tremendous frequency and using this technology people can have real-time object experience from a computer and their mobile phones. And because of being the most growing technology these days, researchers love to implement muchdeep learning and data science algorithms using it toadvance technologically. We aim to elaborate on the functionalities of the technologies and their recent real-time applications. In this paper, we have discussed the process and different methodologies that are used in Augmented Reality, along with the applications of Deep learning in the same. The deep learning methods that help explore AR are also discussed.
Keywords: Augmented Reality, Artificial intelligence, Deep Learning, Machine learning, Virtual Reality