Augmented Reality, Virtual Reality, and Computer Graphics

A special issue of Big Data and Cognitive Computing (ISSN 2504-2289).

Deadline for manuscript submissions: 31 October 2024 | Viewed by 2231

Special Issue Editor

School of Product Design, University of Canterbury, Christchurch, New Zealand
Interests: applied immersive game design; computer graphics; augmented and virtual reality; computer vision based natural feature registration; artificial intelligence

Special Issue Information

Dear Colleagues,

It is estimated that over 80% of information perceived by humans comes through the sense of sight. Computer Graphics, and their recent applications in Augmented Reality (AR) and Virtual Reality (VR) technology, provide methods of displaying digital information in a way that can be perceived and understood by humans. With displays that range from two-dimensional computer and mobile device screens, through to head mounted displays that visualize digital information situated in the real environment or replace the real environment with an entirely digital construction, the options and applications for rendering digital information are endless.

This focus of this Special Issue is on the visualization of digital information through Computer Graphics, Augmented Reality and Virtual Reality. The scope of this Special Issue includes (but is not limited to):

  • New methods and techniques for rendering digital information;
  • Comparisons and considerations of displaying digital information using the different technologies;
  • Applications with a particular focus on the display of digital information;
  • Other research with a focus of the display of digital information.

The purpose of this Special Issue is to act as a repository of state-of-the-art research on the display of digital information in the fields of Computer Graphics, Augmented Reality and Virtual Reality. This repository will supplement the existing literature by providing up to date research on this important aspect of Computer Graphics, Augmented Reality and Virtual Reality technologies that are often taken for granted.

Dr. Adrian Clark
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Big Data and Cognitive Computing is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • computer graphics
  • augmented reality (AR)
  • virtual reality (VR)
  • mixed reality (MR)
  • extended/cross-reality (XR)
  • visualization
  • graphical displays
  • rendering techniques
  • graphical applications
  • display technologies

Published Papers (1 paper)

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Research

25 pages, 5224 KiB  
Article
Expanding the Horizons of Situated Visualization: The Extended SV Model
by Nuno Cid Martins, Bernardo Marques, Paulo Dias and Beatriz Sousa Santos
Big Data Cogn. Comput. 2023, 7(2), 112; https://doi.org/10.3390/bdcc7020112 - 07 Jun 2023
Viewed by 1220
Abstract
To fully leverage the benefits of augmented and mixed reality (AR/MR) in supporting users, it is crucial to establish a consistent and well-defined situated visualization (SV) model. SV encompasses visualizations that adapt based on context, considering the relevant visualizations within their physical display [...] Read more.
To fully leverage the benefits of augmented and mixed reality (AR/MR) in supporting users, it is crucial to establish a consistent and well-defined situated visualization (SV) model. SV encompasses visualizations that adapt based on context, considering the relevant visualizations within their physical display environment. Recognizing the potential of SV in various domains such as collaborative tasks, situational awareness, decision-making, assistance, training, and maintenance, AR/MR is well-suited to facilitate these scenarios by providing additional data and context-driven visualization techniques. While some perspectives on the SV model have been proposed, such as space, time, place, activity, and community, a comprehensive and up-to-date systematization of the entire SV model is yet to be established. Therefore, there is a pressing need for a more comprehensive and updated description of the SV model within the AR/MR framework to foster research discussions. Full article
(This article belongs to the Special Issue Augmented Reality, Virtual Reality, and Computer Graphics)
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