Augmented Reality: Technology Merging Computer Vision and Image Processing by Experimental Techniques
Vaishnavi J. Deshpande1, Jignyasa Sanghavi2
1 Vaishnavi J. Deshpande, M.Tech Department of CSE Shri Ramdeobaba college of Engineering & Management, Nagpur, Maharashtra India.
2Jignyasa Sanghavi, Assistant Professor Department of Computer Science, Shri Ramdeobaba college of Engineering & Management, Nagpur, Maharashtra India.
Manuscript received on 09 June 2019 | Revised Manuscript received on 14 June 2019 | Manuscript Published on 08 July 2019 | PP: 534-537 | Volume-8 Issue-8S3 June 2019 | Retrieval Number: H10710688S319/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Computer vision is an interdisciplinary field which forms the foundation for many evolving technologies. Augmented reality (AR) and virtual reality (VR) are the rapidly developing technologies used in many applications. Augmented Reality superimposes a computer generated image on the user’s view of the real world. Virtual reality is an interactive computer-generated experience taking place within a simulated environment. With the research and progress, the technology has given many applications based on Augmented Reality to the real world. The technology has three main pillars: motion tracking, environmental understanding and light estimation. The research in this field is also influencing a new human-computer interaction. The objective of this paper is to understand the ongoing research in AR. This paper discusses all the technical details of the AR technology, the algorithms used to achieve various functionalities and the future scope of the technology.
Keywords: Augmented Reality, motion tracking, SLAM, Computer Vision, image processing
Scope of the Article: Computer Vision