Computer Vision Imaging Technology and Application
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Electronic Multimedia".
Deadline for manuscript submissions: closed (20 June 2023) | Viewed by 6726
Special Issue Editors
Interests: computer vision; computer animation; motion analysis; expression recognition; easy motion capture; virtual reality
Interests: computer vision; machine learning; medical image analysis; explainable AI (XAI)
Interests: deep-learning-based research for human behavior recognition; human counting and density estimation; tiny object detection; biomedical applications; saliency detection; natural language processing; cybersecurity; face and face expression recognition; road sign detection; license plate recognition
Special Issue Information
Dear Colleagues,
The objective of this Special Issue is to discuss the latest innovations in computer vision and image processing technologies, with a focus on applications and software development. Computer vision is an area of computer science and electronics that uses machine learning to enable computers to see, recognize, and analyze often moving objects in photos and videos. Advances in computer vision can be achieved by working on the algorithms in general, but also on the hardware, especially when the targeted application needs real time.
The aim of this Special Issue on “Computer Vision Imaging Technology and Application” is to bring together the research communities interested in computer vision from various fields, such as electronics, robotics, and computer science, with a special focus on innovative applications in various domains, such as virtual reality, video games, medicine, industry 4.0, agriculture, transportation, sports, retail, etc.
The topics of interest include but are not limited to the following:
- Image processing and computer vision;
- Artificial intelligence systems for computer vision;
- FPGA or GPU-based acceleration of computer vision algorithms;
- Low power computer vision and deep learning;
- Embedded vision and deep learning systems;
- Vision sensor systems;
- Optimizing material for computer vision;
- Efficient implementation of computer vision algorithm in specific setups;
- Smart camera systems;
- Applications using neuromorphic cameras;
- Hardware setup for applications of computer vision in virtual reality, games, medicine, industry, agriculture, transportation, sport, retail, etc.
We look forward to receiving your contributions.
Dr. Alexandre Meyer
Prof. Dr. Rizwan Ahmed Khan
Prof. Dr. Xiangjian He
Guest Editors
Manuscript Submission Information
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Keywords
- image processing
- computer vision
- embedded vision
- vision sensor systems