Recent Advances in Computer Vision: Technologies and Applications, 2nd Edition
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: 31 December 2024 | Viewed by 99
Special Issue Editors
Interests: computer vision; machine learning; intelligent optimization control
Special Issues, Collections and Topics in MDPI journals
Interests: person re-recognition; power vision technology
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In recent decades, computer vision has achieved great success in many fields. This Special Issue aims to encompass a broad spectrum of topics within computer vision, including image processing, pattern recognition, machine learning, and artificial intelligence techniques applied to visual data analysis. It seeks to showcase innovative methodologies and algorithms for tasks such as image classification, object detection and tracking, semantic segmentation, scene understanding, and beyond. Furthermore, this Special Issue welcomes contributions that explore the integration of computer vision into emerging technologies such as augmented reality, virtual reality, and robotics, as well as its applications in diverse fields such as healthcare, transportation, surveillance, entertainment, and manufacturing. By providing a platform for the dissemination of cutting-edge research and practical applications, this Special Issue will endeavor to facilitate knowledge exchange, foster interdisciplinary collaborations, and propel the advancement of computer vision technologies in order to effectively address real-world challenges.
Potential topics include, but are not limited to, the following:
- Image processing, analysis, and understanding;
- Object detection and visual tracking;
- Human behavior analysis;
- Computer vision and smart cities;
- Industrial machine vision;
- Supervised/semi-supervised/unsupervised learning;
- Reinforcement learning;
- Deep learning theory and applications;
- Pattern recognition;
- Data mining;
- Feature engineering;
- Information fusion;
- Object classification;
- Network analytics for efficient and reliable network operation.
Technical Program Committee Member:
- Qilei (Kevin) Li Queen Mary University of London
- Wenzhe Zhai Harbin Engineering University
Dr. Mingliang Gao
Dr. Guofeng Zou
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
- machine learning
- image processing
- pattern recognition
- deep learning
