Advanced Face Recognition Technology in Computer Vision
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Electronic Multimedia".
Deadline for manuscript submissions: 15 May 2026 | Viewed by 72
Special Issue Editor
Interests: artificial intelligence; face recognition; information security; steganography; image steganalysis; audio steganalysis; cryptography; digital forensics
Special Issue Information
Dear Colleagues,
Face recognition has become one of the most active research areas in computer vision, driven by rapid advancements in deep learning, edge computing, and multimodal data fusion. This Special Issue aims to bring together cutting-edge research and novel developments that push the boundaries of face recognition technology in terms of accuracy, robustness, privacy, and real-world applicability. We invite high-quality contributions addressing theoretical foundations, algorithmic innovations, and emerging applications across diverse domains such as security, biometrics, healthcare, human–computer interaction, and smart environments.
The scope of this Special Issue includes, but is not limited to, the following:
- Deep learning architectures and transformer-based models for face recognition;
- Lightweight and efficient face recognition for embedded and edge devices;
- Three-dimensional face modelling, reconstruction, and recognition under unconstrained conditions;
- Adversarial robustness, fairness, and privacy-preserving methods;
- Multimodal and cross-domain face recognition (e.g., thermal, sketch, or audio-assisted);
- Face recognition in video, low-light, and occluded scenarios;
- Ethical, legal, and societal implications of face recognition technologies.
This Special Issue aims to provide a comprehensive forum for researchers, practitioners, and industry experts to share innovative ideas and foster collaborations that advance the next generation of face recognition systems.
Dr. Saman Shojae Chaeikar
Guest Editor
Manuscript Submission Information
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Keywords
- face recognition
- computer vision
- deep learning
- transformer models
- 3D face analysis
- multimodal biometrics
- adversarial robustness
- privacy preservation
- facial reconstruction
- cross-domain recognition
- human–computer interaction
- ethical AI
- real-world face recognition systems
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