Explore advanced edge detection techniques in this computer vision lecture, focusing on the Canny Edge Detector algorithm. Dive into the intricacies of gradient calculation, orientation determination, and non-maximum suppression. Learn about hysteresis thresholding and its impact on final edge detection results. Examine the effects of Gaussian kernel smoothing on edge detection outcomes. Conclude by investigating the application of deep learning methods in modern edge detection approaches, bridging traditional computer vision techniques with cutting-edge artificial intelligence.