Computer Vision and Pattern Recognition: Advanced Techniques and Applications (2nd Edition)
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 20 December 2025 | Viewed by 7
Special Issue Editors
Interests: statistical data analysis; statistical modeling; computer vision; machine learning; deep learning; signal processing; affective computing
Special Issues, Collections and Topics in MDPI journals
Interests: computer vision; image processing; biometrics; sensing for autonomous vehicles
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Computer vision and pattern recognition are driving transformative advances across many domains, from healthcare and autonomous vehicles to robotics and augmented reality. The field is continuously evolving through new innovations in sensors, algorithms, and novel architectures. Multimodal perception driven by multi-spectral cameras and LiDARs are revolutionizing how machines perceive the world. The last few years have seen advances in vision transformers, foundational models, 3D scene understanding, explainability, and self-supervised models. Additionally, generative AI and novel computational imaging techniques have further opened up new directions in research. Advances in computer vision and pattern recognition have the potential to make positive impacts in diverse fields of applications. This Special Issue seeks to showcase the most innovative and impactful research in this rapidly evolving landscape.
We welcome contributions that bridge the gap between computer vision and other domains, fostering interdisciplinary collaboration and driving real-world applications. We invite submissions on a broad range of topics, including but not limited to the following:
- Deep learning for computer vision;
- Object detection and recognition;
- Image and video analysis;
- Scene understanding and scene segmentation;
- Sensor fusion for 3D scene understanding;
- Pattern recognition and machine learning;
- Robotics- and vision-based navigation;
- Medical imaging and healthcare applications;
- Autonomous vehicles;
- Unmanned aerial vehicles;
- Human–computer interactions;
- Vision transformer and applications;
- Foundational models and applications;
- Generative AI-driven applications;
- Multimodal data-driven perception.
Dr. Abhijit Sarkar
Prof. Dr. Lynn Abbott
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. 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
- computer vision
- pattern recognition, generative AI
- multimodal perception
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