Objectives:
In Unit 2 we will explore filtering images with "templates" for image effects, matching, and object detection. The concepts of derivatives in images and gradients will be applied to detecting line and circle objects in images. We will develop software that allows the machine to "see" edges, lines, circles, and detect other objects. Finally, we will explore applications in image information processing in areas such as lane detection for self driving automobiles.
Concepts and Vocabulary:
Filter Types: Box Filter, Gaussian Filter, Image Template
Template Matching Algorithms: SSD, Correlation, Heat Maps
Image Derivatives and Gradients
Edge Detection
Hough Space and Line/Circle Detection
Facial Recognition Libraries and Haar Cascades
Skills and Product: