Explore the fundamentals of features in computer vision in this lecture from the University of Central Florida's CAP5415 Computer Vision course. Delve into the definition and types of features, their applications in matching, structure from motion, and panorama stitching. Learn about finding features in videos and the characteristics of good features, including distinctiveness, compactness, and efficiency. Examine the process of choosing interest points, their properties, and approaches like corner detection. Discover the goals for keypoints and their practical applications in keypoint matching. This comprehensive lecture provides essential knowledge for understanding feature extraction and its role in various computer vision tasks.