Concept
Speeded up robust features
Related lectures (14)
Edge Detection: Basics and Techniques
Introduces the basics of edge detection, including measuring contrast, gradient images, Fourier interpretation, Gaussian functions, Canny edge detector, and industrial applications.
Adversarial Machine Learning
Explore the vulnerabilities of neural networks to adversarial attacks and the strategies to enhance model robustness.
Computer Vision Basics: Image Processing and Feature Detection
Covers the basics of computer vision, focusing on image processing techniques and feature detection.
Fourier Analysis III
Covers Fourier coefficients, periodic functions, Fourier transform, and convolution product applications in signal processing.
Directional Image Analysis: Steerable Filters
Explores directional image analysis and the implementation of steerable filters for edge and ridge detection.
Motion
Explores motion estimation methods in video processing, covering displacement, motion field, optical flow, and various techniques like gradient methods and block matching.