Techniques and Applications in Face Image Analysis
A special issue of Journal of Imaging (ISSN 2313-433X).
Deadline for manuscript submissions: 28 February 2025 | Viewed by 169
Special Issue Editor
Interests: computer vision; image processing; deep learning; intelligent video surveillance; face analysis; face recognition; emotion recognition; fake image detection
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In face biometric applications, building a robust face recognition system involves several key components and considerations. Face detection delimits the face region within an image or video sequence, the face recognition component then identifies or verifies individuals based on the computed facial features from the delimited regions. The recognition rate highly depends on the quality of the processed images. While some algorithms have been adapted to mitigate certain image aspects (e.g., sensor-related aspects, sharpness, illumination, etc.), challenges still remain regarding subject-related aspects. These include occluded faces, head pose, expression neutrality, etc. Assessing face image quality is used as a utility score to improve the stability and accuracy of face recognition systems by rejecting low-quality images before further processing.
Furthermore, AI-based approaches have significantly improved face recognition systems, even under diverse wild conditions. However, they have also enabled sophisticated attacks on face recognition systems. A robust system must consider mitigating strategies to tackle more and more advanced AI-related aspects including presentation attack, face morphing, and synthetically generated or manipulated face images.
This Special Issue of the Journal of Imaging aims to feature reports and articles addressing the robustness of face biometric algorithms and implementing enhancement measures and/or protective techniques. Any related face analysis techniques that can potentially defend against evolving threats are welcome.
Dr. Mohamed Dahmane
Guest Editor
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Keywords
- face analysis
- robust face recognition
- image quality assessment
- face recognition attacks
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