Explore edge detection techniques in computer vision through this comprehensive lecture from the University of Central Florida's CAP5415 Computer Vision course. Delve into the fundamentals of edge detection, including its importance, types of edges, and real-world applications. Learn about filtering, smoothing, and evaluation methods for edge detection algorithms. Examine design criteria and various approaches, including human edge detection and face detection. Gain insights into second-order derivative techniques and their application to real images. This lecture, part of a broader course covering mathematical preliminaries, coordinate transforms, image filtering, neural networks, deep learning, segmentation, classification, and object detection, provides essential knowledge for students and professionals in the field of computer vision and artificial intelligence.