Artificial Intelligence for Computer Vision
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: closed (15 March 2021) | Viewed by 22824
Special Issue Editor
Interests: machine learning; machine vision; computational imaging; signal processing; LIDAR data processing
Special Issue Information
Dear Colleagues,
Computer vision systems are an integral part of modern security, manufacturing, and industrial processes. Computer vision systems are widely used in various applications, such as automotive navigation systems, intelligent surveillance systems, robot guidance, human-assistive systems, product classification, defect inspection, and so on. There are a number of challenges in computer vision systems, such as object segmenting, object recognition, object tracking, image enhancement, LIDAR data processing, 3D scene reconstruction, and so on.
Recently, Artificial Intelligence (AI)-based computer vision systems have played a crucial role in many applications. It is expected that AI will be the main approach of the next generation of computer vision research. The explosive number of AI algorithms and increasing computational power of modern computers has significantly extended the number of potential applications for computer vision.
This Special Issue of the journal Applied Sciences on “Artificial Intelligence for Computer vision” focuses on computer vision research based on AI. This Special Issue solicits state-of-the-art research findings from both academia and industry, with a particular emphasis on novel techniques to ensure the impact of AI in computer vision research and its related applications. Topics of interest for this Special Issue include but are not limited to the following:
- Theoretical foundations of artificial intelligence and computer vision;
- RGB-D vision;
- Computational imaging;
- Object tracking, detection, segmentation, and recognition;
- Deep learning for computer vision;
- Big data analysis for computer vision;
- User experience for computer vision systems;
- 3D scene reconstruction.
Prof. Dr. Hee-Deok Yang
Guest Editor
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Keywords
- Artificial Intelligence
- Deep learning
- Computer vision
- Image analysis
- Video analysis
- Visual intelligence
- 3D scene reconstruction
- Signal analysis
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