Face Image Quality Assessment

Face Image Quality Assessment is an important task in the field of computer vision, aiming to automatically evaluate the quality of facial images through algorithms, including dimensions such as clarity, lighting, and pose. Its goal is to ensure that facial images meet specific application standards, thereby improving the accuracy and reliability of subsequent processing. This technology is widely used in facial recognition, biometric identification, image database management, and other scenarios, playing a significant role in enhancing system performance and user experience.