Fast-Hessian

Fast-Hessian is a computer algorithm used to quickly identify key points or features in images, such as corners, edges, or blobs. It works by analyzing the image at various scales to detect prominent structures with high contrast or distinct texture. The "Fast" part refers to its efficiency, enabling rapid processing suitable for real-time applications like object recognition or tracking. Essentially, it helps computers understand important parts of an image efficiently, making tasks like facial recognition or scene analysis faster and more effective.