Special Issue "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: 15 March 2021.

Special Issue Editor

Prof. Dr. Hee-Deok Yang

Guest Editor
Dept. of Computer Engineering, Chosun University
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

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 papers will be 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. Applied Sciences 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 1800 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

  • Artificial Intelligence
  • Deep learning
  • Computer vision
  • Image analysis
  • Video analysis
  • Visual intelligence
  • 3D scene reconstruction
  • Signal analysis

Published Papers

This special issue is now open for submission.
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