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Symmetry and Asymmetry Study in Object Detection
This special issue belongs to the section “Computer“.
Special Issue Information
Dear Colleagues,
This Special Issue focuses on the critical role of symmetry and asymmetry in object detection, exploring how these geometric properties can enhance detection algorithms. Symmetry can simplify the identification and localization of objects by reducing computational complexity and improving accuracy. Conversely, understanding asymmetry is essential for detecting irregular or occluded objects. Contributions are invited with novel methodologies, theoretical analyses, and practical applications that leverage symmetry and asymmetry in object detection. Studies may include advancements in machine learning, computer vision, and real-world applications across various domains such as robotics, autonomous systems, and medical imaging.
Prof. Dr. Vladimir Brtka
Prof. Dr. Dragan Kukolj
Prof. Dr. Dragan M. Samardžija
Dr. Velibor Ilic
Guest Editors
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 submissions that pass pre-check are 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 250 words) can be sent to the Editorial Office for assessment.
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 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.
Keywords
- object detection
- symmetry
- asymmetry
- computer vision
- machine learning
- pattern recognition
- geometric properties
- autonomous systems
- robotics
- medical imaging
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