XRiM: XR Technologies in Future Museums
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: closed (30 June 2023) | Viewed by 2587
Special Issue Editors
Interests: interactive applications with computer vision technologies; applications with machine learning and artificial intelligence (AI); sensing applications for mobile devices; applications in virtual and augmented reality (VR/AR)
Interests: image processing; AR; media art; education technology; tangible interface
Interests: architecture; data visualization; geographic information science; geospatial technologies; GIS; immersive visualization; mixed/augmented reality
Special Issue Information
Dear Colleagues,
Museums have always been attractive and unique places where people learn from various exhibits, displays, samples, and special devices. Although recent smartphones, PCs, and game consoles are very powerful, there should be solid differences between experiences with daily equipment and those in museums full of special-purpose devices. For decades, museums have been polarized into large and wealthy museums with the latest technologies that have attracted a large number of people, and local and small museums (typically with smaller budgets) with fewer visitors. To rectify some current situations involving museums, this Special Issue aims to showcase a wide range of excellent designs, implementations, experimental results, and case studies. We encourage papers that extend the ability of museums to enhance people’s experiences in museums with a range of XR/AR/VR/MR and related technologies.
The scope of this Special Issue includes, but is not limited to, the following topics.
- Visitor identification and tracking;
- Large surface interaction;
- Physical objects for interactive learning;
- Projection mapping;
- Traditional work and activities in cyberspace;
- Museum community activation;
- Versatile information kiosk;
- Indoor localization and navigation.
Furthermore, we welcome papers with interdisciplinary approaches, including the following domains.
- Image processing;
- Deep learning;
- Data visualization;
- Internet of things for museums;
- Three-dimensional measurements for virtual space.
Prof. Dr. Shih-Wei Sun
Dr. Nobuyuki Umezu
Dr. Ming-Chun Lee
Dr. Agata Marta Soccini
Guest Editors
Manuscript Submission Information
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