Landmark-based segmentation

Landmark-based segmentation is a technique in the field of computer vision that achieves precise division of specific areas by identifying key points or landmarks in an image. This method aims to enhance the accuracy and efficiency of image processing and is widely applied in medical image analysis, facial recognition, and pose estimation, effectively supporting developments in clinical diagnosis, biometric identification, and human-computer interaction.