Advances in Computer Vision Research and Applications
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: 15 December 2025
Special Issue Editors
Interests: artificial intelligence; computer vision; computer graphics; explainable AI; 3D vision
Special Issue Information
Dear Colleagues,
Computer vision has emerged as one of the most transformative technologies, revolutionizing how machines perceive, interpret, and interact with the visual world. From healthcare and manufacturing to autonomous vehicles and smart cities, computer vision capabilities are fundamentally reshaping industries and creating unprecedented opportunities for innovation. This Special Issue arrives at a critical juncture when rapid advancements in deep learning, sensor technologies, and computational resources have catalyzed remarkable progress in visual intelligence systems, yet numerous challenges remain in realizing the full potential of these technologies across diverse real-world contexts.
The purpose of this Special Issue is to provide a comprehensive platform for researchers, practitioners, and industry experts to disseminate their latest findings, exchange innovative ideas, and establish collaborative networks. By highlighting both theoretical contributions and practical implementations, this Special Issue aims to accelerate the development and adoption of computer vision technologies that can address pressing societal challenges and enhance human capabilities.
The primary focus of this Special Issue is threefold: (1) novel approaches in computer vision; (2) integration of computer vision with complementary technologies such as artificial intelligence, machine learning, and edge computing; and (3) transformative applications that demonstrate the impact of computer vision in solving complex problems.
The scope encompasses a broad spectrum of research areas including, but not limited to, the following:
- Deep learning for visual recognition and understanding;
- Computer vision for autonomous systems and robotics;
- 3D object/scene reconstruction and understanding;
- Video analysis and action recognition;
- Vision technologies for augmented and virtual reality.
Dr. Dan Wang
Dr. Xinrui Cui
Guest Editors
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. Electronics is an international peer-reviewed open access semimonthly 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 2400 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 vision
- deep learning
- image processing
- visual recognition
- 3D vision
- edge computing
- medical imaging
- autonomous systems
- visual intelligence
- video analysis
- augmented reality
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