Application of Machine Learning in Graphics and Images, 2nd Edition

Dear Colleagues,

Computer graphics and image processing technologies have been widely used in production processes in society today, as well as other aspects of daily life, offering solutions with greatly improved efficiency and quality. Meanwhile, the last few decades have witnessed machine learning modes becoming effective and ubiquitous approaches applied to various challenging real-world or virtual tasks. Both the fields of image processing and computer graphics are important machine learning application scenarios that have stimulated high research interest and brought about a series of popular research directions.

In this Special Issue, we look forward to your novel research papers or comprehensive surveys of state-of-the-art works that may contribute to innovative machine learning application models, improvements to classical computer graphics and image processing tasks, and new interesting applications. Topics of interest include all aspects of the application of machine learning to graphics and images, but are not limited to the following detailed list:

• Computer graphics;
• Image processing;
• Computer vision;
• Machine learning and deep learning;
• Pattern recognition;
• Object detection, recognition, and tracking;
• Part and semantic segmentation;
• Rigid and non-rigid registration;
• 3D reconstruction;
• Virtual reality/augmented reality/mixed reality;
• Computer-aided design/engineering;
• Human pose and behavior understanding;
• Autonomous driving.

Dr. Yiqi Wu
Dr. Yilin Chen
Dr. Dejun Zhang
Guest Editors

Manuscript Submission Information

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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.

• computer graphics
• image processing
• computer vision
• machine learning
• deep learning
• pattern recognition

• Application of Machine Learning in Graphics and Images in Electronics (13 articles)