University of Toronto - Spring 2008
Department of Computer Science

2523S: Object Modeling and Recognition

Professor:            Sven Dickinson
Lecture Time:     Tuesday, 1-3pm
Location:             BAB026
Prerequisite:        2503H Foundations of Computer Vision (or permission)


This course will explore issues in computer vision from the standpoint of
three-dimensional object modeling and recognition.  A variety of object
modeling schemes will be discussed and contrasted, including object-centered
vs. viewer-centered models, physical vs. geometrical models, deformable vs.
rigid models, and geometrical vs. functional models.  In addition, a number of
recognition algorithms will also be presented, including constrained search,
alignment, geometric hashing, and appearance-based recognition. The use of
these models must be evaluated in the context of particular object recognition
tasks.  A set of criteria will be identified with which the best object model can
be chosen for a given recognition task. Using these criteria, including feature
robustness, indexing power, search complexity, reliance on pose determination,
model coverage, etc, a number of the leading recognition results in the field
will be evaluated.


This year, the course will be run in a seminar-like format, in which
two students will present two research papers (one each) per week. The
course grade will be based primarily on a class project (80%), which can
take the form of a software system or a comprehensive survey paper. The
remainder (20%) of the grade will come from class participation, including
the student paper presentations. Students may choose their own project topic
or be assigned one. Project proposals are due before class on February 1.
Students will subsequently report their progress in a set of biweekly
progress reports and will hand in a final report at the last class.


There will be no required textbook for the course; copies of published research
papers will made available online or provided to the students.


Click here for a schedule of papers we'll be covering, and click here to see
the current student presentation schedule. Keep in mind that depending
on the direction taken by the discussions, I may adapt the outline.