Imaging, Vision and Pattern Recognition
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: closed (20 May 2024) | Viewed by 282
Special Issue Editor
Interests: signal processing; image processing; pattern recognition; computer vision; imaging; computed tomography; distance education; artificial intelligence; object-oriented programming; immunohistochemistry
Special Issue Information
Dear Colleagues,
With the advent of Deep Learning techniques, in recent years, there have been massive developments in Computer Vision and related fields that outpace our publishing capability. These new models and approaches are still in preprint; however, a few research groups have presented the novel applications, refinements and extensions. This overwhelming research pace makes it difficult to distinguish between the foundational papers, methodological work and simple case studies.
In this Special Issue, we focus on methodological work and invite submissions exploring cutting-edge Computer Vision and Pattern Recognition Applied Research that is generalizable and has the potential to go beyond case studies or new method applications. We are not interested in foundational papers or new models, but in application strategies. Do you think your solution represents a refinement of a particular method or a solution strategy beyond your particular area? Do you think your solution can be generalized to solve a particular class of problems?
We wish to receive papers that present concrete, real-world results from Computer Vision approaches used to solve problems, and also investigate and discuss their broader application. The papers should be useful for researchers seeking solutions to a problem and discuss evidence that the presented approach can be generalized. The authors are encouraged to submit relevant research articles or review articles on the above-mentioned topics.
Prof. Dr. Aldo Von Wangenheim
Guest Editor
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. Applied Sciences is an international peer-reviewed open access semimonthly 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
- applied computer vision
- applied pattern recognition
- computer vision pipelines
- computer vision strategies
- model refinement
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue polices can be found here.