ECGR6090/ECGR8090 - Computer Vision  (3)

Catalog Data The course builds upon and synthesizes knowledge from the engineering science, mathematics, and physical sciences stem of core curriculum. The specific topics teach engineering analysis, synthesis, and design, while simultaneously affording an opportunity for the students to investigate an area of specialization. May be repeated for credit.
Lecture Times Friday 12:30 p.m. - 1:45 p.m.
Lecture Room Woodward Hall 125
Reference Introductory Techniques for 3-D Computer Vision, Emanuele Trucco and Alessandro Verri, 1998.
Additional References

Computer Vision : A Modern Approach, Forsyth and Ponce, 2003.
Computer Vision, Shapiro and Stockman, 2001.

Goals The objective of this course is to provide students with a working knowledge required to analyze and design computer vision and pattern recognition algorithms and systems.
Prerequisite Permission of the Department
Class Topics

Camera image formation processes and their mathematical models
Camera calibration and intrinsic/extrinsic parameter estimation
Radiometry and Simulation of light propagation
Shading and Interreflection
Geometry from multiple views, Stereopsis reconstruction
Tracking, Structure from motion
Range scanning technologies
Theory of curves and surfaces
Object Recognition from images or range data

Outcomes The following competencies should be imparted to the students:
1. An understanding of basic digital imaging systems, models of their image formation processes (assessment by homework).
2. The ability to implement basic computer vision algorithms (assessment by projects and homework).
3. The ability to implement basic pattern-recognition and classification algorithms (assessment by projects and homework).
4. Hands-on experience with various computer tools for implementing and testing computer vision and pattern recognition systems in a variety of projects (assessment by design project).
Computer Usage Students design, simulate, and analyze a variety of computer vision and pattern recognition projects. MATLAB should be accessible as a tool for completing projects.
Laboratory Students use computer laboratories for the implementation of the design projects outside of class.
Design Content The design projects for the course vary from semester to semester.
Grading *

There no exams in this course. Grades are determined by performance on homeworks, projects, and in-class presentations. The weight of each item in determining the final grade is as follows:
Homeworks 30%
Projects 50%
Presentations 20%

Follow-up Courses N/A
Academic Integrity Students have the responsibility to know and observe the requirements of the UNCC Code of Student Academic Integrity (2001-2003 UNCC Catalog, p. 275) . This code forbids cheating, fabrication or falsification of information, multiple submission of academic work, plagiarism, abuse of academic materials, and complicity in academic dishonesty.
Notes Semester syllabus will be provided to the students on the first day of class.
Coordinator A. Willis, Professor of Electrical & Computer Engineering
Prepared by A. Willis, August 20, 2007

  * Grading policy may be modified by the instructor for each section of the course.

  * Grading scale : 90-100 A, 80-89 B, 70-79 C, with ``curve,'' if any, entirely at the discretion of the instructor. Quizzes may be given without warning.

Important Notes for Students

Students in this course seeking accommodations to disabilities must first consult with the Office of Disability Services and follow the instructions of that office for obtaining accommodations.

The use of cell phones, beepers, or other communication devices is disruptive, and is therefore prohibited during class. Except in emergencies, those using such devices must leave the classroom for the remainder of the class period.

Students are permitted to use computers during class for note-taking and other class-related work only. Those using computers during class for work not related to that class must leave the classroom for the remainder of the class period.

Collaboration (not copying) on homework is encouraged. However, students may NOT share program code or report material. You must read the textbook; it is impossible to cover all material during class.