Special Issue "Symmetry in Artificial Visual Perception and Its Application"
A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Computer and Engineering Science and Symmetry/Asymmetry".
Deadline for manuscript submissions: 30 November 2021.
Symmetry in human neural structure has a great impact on perception. People tend to perceive an object based on salient visual regularity. The concept of symmetry is often adopted in a deep neural network to construct an efficient network structure tailored for a specific task. With the enormous advancement in artificial intelligence, artificial intelligence in visual perception does better than humans in some specific tasks. However, even the tasks which are known to be highly successful using artificial intelligence often fail in the presence of unexpected uncertainty. Even though many researches in artificial visual perception have studied object classification or segmentation, artificial visual perception is starting to make progress in cyber-physical systems with the convergence of other fields such as control or robotics. In the future, a virtual human with artificial vision capabilities beyond the human biological vision system is expected. The operation of the virtual human is expected to be realized through interaction among many different coupled subsystems. This implies that the task of visual perception is likely to be modeled in conjunction with other sensory or motor systems. Recent advances in multimodal deep learning show a glimpse of realizing the virtual human. The recent advances in artificial visual perception are resulting in many fascinating applications in various fields such as autonomous robots, human–computer interfaces, autonomous driving, smart factories, medical systems, national security, and even the fashion industry.
This Special Issue aims to highlight and advance contemporary research on artificial visual perception and its application to various fields. Theory can be developed further from exploiting theory used in different fields, while application development can be improved by understanding its principle deeply. We invite contributions of both original research and reviews of research that organize the recent research results in a unified and systematic way.
Suggested topics include but are not limited to:
- Artificial visual perception with partial information.
- Artificial visual perception for sensorimotor control.
- Visual perceptual learning.
- Artificial specificity and plasticity.
- Artificial vision in autonomous virtual humans.
- Multimodal deep learning.
- Multimodal reinforcement learning.
- Multimodal association learning.
- Collaborative artificial visual perception.
- Generative adversarial networks for visual perception.
Prof. Dr. Janghoon Yang
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. Symmetry is an international peer-reviewed open access monthly 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.
- visual perception
- artificial intelligence
- multimodal learning
- virtual human
- computer vision
- vision-based control