Introduction to Computer Vision

Catalog description

This course introduces students to Computer Vision and Image Processing. The course starts with image formation, color, image filtering and programming basics with languages such as Python, C++, and Matlab. It also teaches fundamentals of image acquisition, image perception, image interpolation, image restoration, image enhancement, edge detection, corner detection, image segmentation, mathematical morphology, and object detection. This course also covers some basics of background modeling, visual tracking, feature matching, scene parsing, and projective geometry that are related to computer vision. The course focuses on both the theory and the practical application of computer vision and image processing. Students will learn hands-on programming implementation. Prerequisite(s): grade of C or better in I CSI 210, and I CSI 213, A MAT 220, and either A MAT 367 or A MAT 370.