Keith J. O'Hara

teaching

CMSC 317

The Computational Image

overview | logistics | schedule | announcements | assignments | resources

Class: Tuesday & Thursday 1:30pm-2:50pm (RKC 100)
Office Hours: Tuesday & Thursday 3pm-4:30pm and by appointment

Textbooks

• Computer Vision: Algorithms and Applications. Szeliski. Springer. 2010.
• Programming Computer Vision with Python. Solem. O'Reilly. 2012.
• Foundations of 3D Computer Graphics. Gortler. MIT Press. 2012.

Grade Breakdown

• Assignments (40%): Programming assignments
• Project (25%): Team project worked on for approximately 1/2 of the term.
• Quizzes (20%): Short weekly quizzes.
• Participation (15%): Positive impact on the class

Policies

• Attend class.
• Be on time.
• Participate.
• Come to class prepared. We'll rely on both the textbook and various research papers for this class, make sure to have the required reading done BEFORE class.
• Complete all assignments, and start early.
• Cooperate, but don't copy.
  • Credit work, including all sources you used from the web, other books, etc.
  • Sharing ideas is encouraged, but blatantly copying work without attribution will be treated as scholastic dishonesty and receive no credit.
• Late work will be accepted up to one week late, losing 10% of the total possible credit per day.
• Quizzes can not be taken late without prior special permission.