Forensic Facial

Forensic facial analysis focuses on reliably identifying individuals from often degraded or manipulated facial images, crucial for law enforcement and security applications. Current research emphasizes improving the robustness of facial recognition systems against low-quality images and adversarial attacks, often employing deep neural networks and self-supervised learning techniques to enhance feature extraction and reduce biases. A key challenge lies in mitigating inherent biases in algorithms and developing methods to assess the uncertainty and trustworthiness of facial recognition results, thereby improving transparency and reliability in forensic contexts. This field is vital for ensuring the accuracy and fairness of facial identification in high-stakes situations.