ECE 5470 Contents
Note: Lecture Notes and Handouts, Homework and Exams, and Projects and Labs are not available for this course.
Course Objectives
Students will gain an understanding of the fundamental issues and techniques for extracting information from digital imagery. They will have a good knowledge of well–established methods for decomposing an image into basic elements: edges, regions, and other features. They will also be introduced to the more experimental higher-level image understanding methods.
Introductory labs provide the student with experience in using computer systems and the associated specialized software tools for processing and extracting information from digital images. The student will gain in-depth understanding of a specific computer vision application through the course project.
Prerequisites
The prerequisite for ECE5470 is ECE2200, or permission of the instructor.
Course Requirements
The final grade for the course will be computed from the following weighted components. There are no absolute thresholds for grades; the grades for the course will be determined from the distribution of grades for the whole class. All work for this course is expected to be original.
Exams: There are two in class exams for this course. Exams cover the material given in both lectures and labs. The second exam will focus on material that is not covered in the first exam.
Homeworks: Homeworks will be occasionally given based on the lecture material to reinforce the understanding of various course topics.
Labs: Computer labs assignments generally occur once a week during the first part of the course and are due after a week. The schedule for the labs is provided on the course website; this schedule may be revised during the semester. Lab assignments may either be conducted on ECE computer facilities or on the student’s personal computer.
Project: A major component of the course will be a project that is done mainly during the last part of the semester. Projects are on selected computer vision topics and usually involve groups of two students. Each project group will meet several times with the course instructor during the project. The project grade is based on both a project report and a poster presentation.
Academic Integrity
Each student in this course is expected to abide by the Cornell University Code of Academic Integrity. Any work submitted by a student in this course for academic credit will be the student’s own work. For this course, collaboration is allowed in the following instances: course projects.