Symmetry/Asymmetry Study in Object Detection
A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Computer".
Deadline for manuscript submissions: 28 February 2025 | Viewed by 82
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Special Issue Information
Dear Colleagues,
The field of object detection has experienced significant advancements in recent years, driven by the rapid development of machine learning and computer vision technologies. This Special Issue delves into the nuanced role that symmetry and asymmetry play in the effectiveness and accuracy of object detection algorithms. It explores theoretical foundations, methodological approaches, and practical applications, offering a comprehensive analysis of how symmetrical and asymmetrical features influence detection performance. By examining a range of case studies and experimental results, the authors provide valuable insights into optimizing detection systems for diverse real-world scenarios. This work serves as an essential resource for researchers and practitioners seeking to enhance their object detection capabilities through a deeper understanding of symmetry and asymmetry.
Prof. Dr. Leo Mrsic
Dr. Hayretdin Bahşi
Dr. Robert Kopal
Dr. Zlatan Morić
Dr. Nikola Protrka
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 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 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
- algorithm optimization
- feature analysis
- detection accuracy
- pattern recognition
- image processing
- computational geometry
- artificial intelligence
- deep learning
- detection performance
- visual perception
- case studies
- experimental results
- real-world applications
- geometric features
- algorithm evaluation
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