Advances of Artificial Intelligence and Vision Applications, 2nd Edition

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Artificial Intelligence".

Deadline for manuscript submissions: 25 February 2025 | Viewed by 75

Special Issue Editors

School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou 510006, China
Interests: computer vision and pattern recognition
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Artificial intelligence technologies represented by deep learning and convolutional neural networks have greatly promoted the research and development of computer vision in the last decade. Simultaneously, advances in software and hardware also enable engineers to implement their elaborated computer vision algorithms onto powerful platforms. These advancements have enabled computer vision to attain enormous success across every aspect of modern society, including agriculture, retail, insurance, manufacturing, logistics, smart city, healthcare, pharmaceutical, construction, etc. The performance of an AI-based computer vision system is still constrained by the quality and quantity of training data and the hardware platforms' computing power and processing speed. This Special Issue aims to collect the advances and contributions of related research to the design, optimization, and implementation of artificial intelligence and computer vision applications.

General topics covered in this Special Issue include, but are not limited to, the following:

  • Image interpretation;
  • Object recognition and tracking;
  • Shape analysis, monitoring, and surveillance;
  • Biologically inspired computer vision;
  • Motion analysis;
  • Document image understanding;
  • Face and gesture recognition;
  • Vision-based human–computer interaction;
  • Human activity and behavior understanding;
  • Emotion recognition.

Dr. Dong Zhang
Prof. Dr. Dah-Jye Lee
Guest Editors

Manuscript Submission Information

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Keywords

  • artificial intelligence
  • computer vision
  • deep learning
  • convolutional neural networks
  • affective computing

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Published Papers

This special issue is now open for submission.
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