Instructor:  Yiannis Aloimonos
Teaching Assistant:  Gutemberg Guerra Filho
Lecture: Tu-Th 12:30pm-1:45pm -  CLB  0109
Office Hours: Mo-We 2pm-4pm  - AVW 1151

Course Description: An introduction to basic techniques of analysis and manipulation of pictorial data by computer. Image input/output devices, image processing software, enhancement, segmentation, property measurement, Fourier analysis. Computer encoding, processing, and analysis of curves.

Textbook: Robot Vision. B. K. P. Horn. The MIT Press. McGraw-Hill Book Company. ISBN: 0-07-030349-5.

Recommended Books:
            A Guided Tour of Computer Vision. V. Nalwa.
            Active Perception. Y. Aloimonos, Editor. Lawrence Erlbaum Publ.
            Visual Navigation: From Biological Systems to Unmanned Ground Vehicles. Y. Aloimonos, Editor. Lawrence Erlbaum Publ.

Coursework: Coursework will consist of eventual homework and project assignments, and two exams (one midterm and a final). Homework exercises, projects and solutions will be made available in the class webpage. You must put your name and student ID in your homework sheet. If you have multiple pages, staple them together, and be sure that your name is on every sheet. The midterm exam will be given during the normal class period. The (tentative) midterm exam date is March 21. The final exam will be on Monday, May 20 at 10:30am-12:30pm (according to the Spring Schedule of Classes).

Grading Policy : Final grade will be based on homework assignments, projects, the midterm exam, and the final exam. Coursework will count towards the final grade according to the following percentages:

    Homeworks and Projects     (40%)
    Midterm Exam                      (30%)
    Final Exam                            (30%)

The midterm exam will be given during the normal class period. The (tentative) midterm exam date is March 21. The final exam will be on Monday, May 20 at 10:30am.