Identical Twin

Identical twins, and the broader concept of high-similarity individuals, are a focus of research across diverse fields, from biometrics and medical imaging to AI and digital twin technology. Current research investigates how to accurately distinguish identical twins using advanced techniques like deep convolutional neural networks and novel contrastive learning methods, while also exploring the challenges posed by their high similarity in applications such as face recognition and morphing attacks. This research is significant for improving the accuracy and robustness of AI systems, enhancing medical diagnoses through improved image segmentation, and advancing the development of reliable digital twin models for various applications, including autonomous navigation and surgical planning.