Head Pose

Head pose estimation, the task of determining the orientation of a person's head in three-dimensional space, is a crucial area of computer vision research with applications ranging from driver monitoring to realistic avatar generation. Current research focuses on improving accuracy and efficiency, particularly for challenging scenarios like extreme head poses and low-quality images, often employing deep learning models such as convolutional neural networks (CNNs) and transformers, sometimes combined with generative adversarial networks (GANs) for applications like face reenactment and editing. These advancements are driving progress in human-computer interaction, automotive safety, and the creation of more realistic and expressive virtual characters.