Deep Learning Based Face Recognition and Feature Extraction: 2nd Edition
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensing and Imaging".
Deadline for manuscript submissions: 30 September 2026 | Viewed by 19
Special Issue Editors
Interests: image denoising; image segmentation; image super-resolution; object detection; deep learning-based filtering
Special Issues, Collections and Topics in MDPI journals
Interests: machine learning; deep learning; image understanding; image analysis
Special Issues, Collections and Topics in MDPI journals
Interests: machine learning; pattern recognition; image processing; super-resolution reconstruction; face and gesture recognition; remote sensing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Following the success of the first edition of our Special Issue entitled “Deep Learning Based Face Recognition and Feature Extraction” (https://www.mdpi.com/journal/sensors/special_issues/BV5I1336R1), we would like to invite our colleagues again to contribute their expertise, insights, and findings in the form of original research articles and reviews for the current edition of this Special Issue.
Human faces play a central role in interpersonal communication and social relationships, which is why automatic recognition and analysis of them have attracted the attention of the computer vision community for decades. State-of-the-art facial recognition techniques enable the identification of a person for ID verification as well as recognition and understanding of their psychophysical state, essential for smooth and high-quality human–computer interaction. Efficient facial recognition, verification, and identification algorithms are essential for developing reliable access control, surveillance, and security systems. In addition, the analysis of the emotional state of users provides valuable feedback, improving the user experience in many application areas.
In recent years, a number of face recognition methods based on deep learning and various feature extraction techniques have been developed, leading to significant advances in the field. Indeed, face recognition is one of the most active areas in computer vision research, and recent advances in systems based on deep learning have significantly improved performance compared to solutions using classical machine learning and pattern recognition techniques. Against this background, this Special Issue seeks original technical and review papers that address the latest applications of deep learning, including, but not limited to, the following:
- Face and facial landmark detection and tracking;
- Face recognition and identification;
- Large-scale face recognition;
- Facial expression recognition and analysis;
- 3D face modeling;
- Applications of face and facial expression recognition;
- Fusion of multiple modalities;
- Face anti-spoofing techniques;
- Face liveness detection from images and videos;
- Surveillance applications;
- Benchmarking and new protocols;
- Psychological and behavioral analysis.
Prof. Dr. Bogdan Smolka
Dr. Karolina Nurzynska
Dr. Michal Kawulok
Guest Editors
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Keywords
- face and facial landmark detection and tracking
- face recognition and identification
- large-scale face recognition
- facial expression recognition and analysis
- 3D face modeling
- applications of face and facial expression recognition
- fusion of multiple modalities
- face anti-spoofing techniques
- face liveness detection from images and videos
- surveillance applications
- psychological and behavioral analysis
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Related Special Issue
- Deep Learning Based Face Recognition and Feature Extraction in Sensors (7 articles)
