CSCE 5013
Class Syllabus
Fall 2011


Name: Prof. John Gauch
Office: 518 JBHT
Class Time: Tues, Thur 11:00-12:20
Office Hours: Tues, Thur 9:30-11:00
Phone: 575-4024
Email: jgauch(at)
Web Page:

Catalog Listing:

The objective of this course is to give students a hands-on introduction to the fundamentals of computer vision. Topics include: image formation, image processing, feature detection and matching, segmentation, feature-based alignment, structure from motion dense motion estimation, image stitching, stereo correspondence, 3D shape reconstruction, and object recognition. Upon completion of this course, students should be prepared to read current papers in computer vision and to undertake research in this area. Prerequisites: Programming experience in C/C++ in a UNIX environment, some background in digital image processing or computer graphics.

Text Book:

"Computer Vision: Algorithms and Applications" by Richard Szeliski, which is available in PDF format at We will also use the open source computer vision library OpenCV at


Final grades in this class will be determined by a weighted average of programming project scores and exam scores as follows:

Programming Projects: 50%
Midterm Exam: 20%
Final Exam: 30%

We use the following scale to assign final grades:

A: over 90%
B: 80% - 89%
C: 70% - 79%
D: 60% - 69%
F: below 60%

Programming Projects: There will be 6-8 relatively large programming projects that will integrate material taught in the course. The project requirements and due dates will be posted on the class website. The programming projects will be graded according to the following scale:

50% program correctness
20% software design
10% programming style
10% testing
10% documentation

Programming projects must be submitted electronically by midnight of the due date specified in the project description. Projects which are submitted within 24 hours of the due date will lose 50% of their grade. Projects will NOT be accepted beyond this 24 hour period. Partial credit will be given for programs which compile but which are not complete. Starting early on programming projects is strongly encouraged.

Exams: There will be two exams in this class. One midterm exam and a comprehensive final exam. All exams will be closed book, but each student will be allowed to bring in a single 8.5 by 11 sheet of notes. Calculators will not be needed or allowed. Make up exams will only be allowed under exceptional circumstances (e.g., a note from your doctor).

Academic Integrity:

As a core part of its mission, the University of Arkansas provides students with the opportunity to further their educational goals through programs of study and research in an environment that promotes freedom of inquiry and academic responsibility. Accomplishing this mission is only possible when intellectual honesty and individual integrity prevail.

Each University of Arkansas student is required to be familiar with and abide by the University's 'Academic Integrity Policy' which may be found at Students with questions about how these policies apply to a particular course or assignment should immediately contact their instructor.

The following policies will apply to this class:


  • Students ARE allowed to bring an 8.5 x 11 sheet of paper with any notes they want into exams. Otherwise, exams are closed book and closed notes.
  • Students are NOT allowed to copy anything from another student.
  • Students are NOT allowed to get any outside assistance during the exam.

    Programming Projects:

  • Students ARE expected to submit their own work on individual programming projects.
  • Students ARE allowed to ask the instructor and/or GTAs for assistance.
  • Students ARE allowed to borrow and adapt code from this class website.
  • Students are NOT allowed to work together in teams or groups to implement programs.
  • Students are NOT allowed to lend or borrow code from each other.
  • Students are NOT allowed to copy code from other individuals or websites.

    Violations of these policies will be punished according to the 'Academic Integrity Sanction Rubric' Depending on the violation level, this may result in a grade of ZERO on an exam or project, a grade of F in the class, or suspension from the University of Arkansas.

    ADA Statement:

    If any member of the class has a documented disability and needs special accommodations, the instructor will work with the student to provide reasonable accommodation to ensure the student a fair opportunity to perform in this class. Please advise the instructor of the disability and the desired accommodations within the first week of the semester.

    Inclement Weather:

    If the university is officially closed, class will not be held. When the university is open, you are expected to make a reasonable effort to attend class, but not if you do not feel that you can get to campus safely. Assignment due dates will be postponed in case of inclement weather.