Face Image
Face image analysis is a rapidly evolving field focused on developing robust and accurate methods for processing and understanding facial images. Current research emphasizes improving the quality of face images through techniques like super-resolution and restoration, enhancing the interpretability of face recognition systems using natural language processing and explainable AI, and mitigating biases in both face recognition and generation models. These advancements have significant implications for various applications, including security, healthcare, and social sciences, by improving the accuracy and fairness of facial analysis technologies.
Papers
Cascaded Asymmetric Local Pattern: A Novel Descriptor for Unconstrained Facial Image Recognition and Retrieval
Soumendu Chakraborty, Satish Kumar Singh, Pavan Chakraborty
Centre Symmetric Quadruple Pattern: A Novel Descriptor for Facial Image Recognition and Retrieval
Soumendu Chakraborty, Satish Kumar Singh, Pavan Chakraborty
R-Theta Local Neighborhood Pattern for Unconstrained Facial Image Recognition and Retrieval
Soumendu Chakraborty, Satish Kumar Singh, Pavan Chakraborty