Work

Computer Vision in Augmented, Virtual, Mixed and Extended Reality environments—A bibliometric review

Year: 2024

Type: article

Abstract: 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.

Source: Visual Informatics

DOI: 10.1016/j.visinf.2024.11.002

Authors: Júlio Castro Lopes, Rui Pedro Lopes

Institutions: Universidade Politécnica de Bragança, Research Centre in Digitalization and Intelligent Robotics

Language: English

Topic: Augmented Reality Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

Funders: Fundação para a Ciência e a Tecnologia, European Regional Development Fund

Award: Centro de Investigação em Digitalização e Robótica Inteligente