Digital Image Processing and Analysis: Virtual Reality and Computer Vision Applications
A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information Applications".
Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 1945
Special Issue Editors
Interests: virtual reality; computer vision; deep learning; data mining; pattern recognition
Interests: virtual reality; computer vision; deep learning
Special Issue Information
Dear Colleagues,
With the rapid development of deep learning technologies, existing digital image processing (DIP) tools have been widely and successfully used in many computer vision-related applications, such as city security, automatic drive, face recognition, computer-aided medical diagnosis, and remote sensing. However, the key objective of virtual reality (VR) is to allow users to perform interactions and undergo experiences in the virtual environment just as would they feel in the real environment, and thus the application scope of VR is rather different from that of conventional image processing, leading to a clear gap between them. Furthermore, the advances in deep learning tools in the VR community are clearly lagging behind the DIP field. In fact, more and more evidence has illustrated the value of those mature deep learning-related solutions in DIP towards VR, which inspires us that more research efforts should be paid on this topic, such as how to make a VR community benefit more from existing research progresses of DIP. This Special Issue will bring together researchers in both DIP and VR, targeting at sharing the latest research and technical progress of DIP in VR-related applications, and bridging the gap between these two research fields. We welcome all submissions which cover both DIP and VR.
Prof. Dr. Chenglizhao Chen
Dr. Wenfeng Song
Dr. Wei Cao
Guest Editors
Manuscript Submission Information
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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. Information is an international peer-reviewed open access monthly journal published by MDPI.
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Keywords
- virtual reality and computer vision
- deep learning techniques in virtual reality
- digital image processing and virtual scene understanding
- digital twin
- panoramic scene navigation and understanding
