An Adaptive-Profile Modified Active Shape Model for Automatic Landmark Annotation Using Open CV

Detection and tracking of face and facial features are the fundamental steps for many applications like Biometrics, human computer interface, video surveillance and expression analysis This paper addresses the challenges in current techniques and presents an adaptive-profile accurate method for facial feature detection and real time tracking. Face and facial features are detected by improved Active shape model (ASM), This application is developed by using Intel’s Open source computer vision project, OpenCV, Microsoft’s .NET framework and DLIB.