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Authors
Advisor(s)
Abstract(s)
This work describes a bibliometric analysis of the literature on the use of computer vision algorithms
in Augmented Reality (AR), Virtual Reality (VR), Mixed Reality (MR), and Extended Reality (XR)
environments. The analysis aims to highlight the evolution, trends, and effects of research in this
field. This review provides an overview of immersive technologies and their applications, as well as
the role of computer vision algorithms in enabling these technologies and the potential benefits of
using such algorithms. This study identifies important authors, institutions, and research themes by
using bibliometric indicators such as citation counts, co-citation analysis, and network analysis. The
analysis also identifies gaps and opportunities for additional research in this area, as well as a critical
assessment of the quality and relevance of the publications.
Description
Keywords
Augmented reality Virtual reality Deep learning Computer vision Machine learning
Pedagogical Context
Citation
Lopes, Júlio Castro; Lopes, Rui Pedro (2024). Computer vision in augmented, virtual, mixed and extended reality environments—a bibliometric review. Visual Informatics. ISSN 2468-502X. 8:4, p. 13-22
Publisher
Elsevier