University of Toronto - Spring 2018
Department of Computer Science

2523H: Object Modeling and Recognition: Shape Perception in Human and Computer Vision

Professor:                               Sven Dickinson
Lecture Time:                         Wednesday, 10am-12pm
Location:                                MS (Medical Sciences) 3290
Recommended Preparation:   a prior course in human and/or computer vision would be helpful, but is not required.


The shape of an object is a key feature for object categorization, and is invariant to changes in colour, texture, and illumination: a car with a leopard-skin paint job is not mistaken for a leopard, nor is an elephant painted with stripes mistaken for a zebra. How shape is perceived in the human visual system can both inform and inspire how shape can be represented and recovered in a computer vision system. This interdisciplinary graduate research seminar, suitable for students in human or computer vision, will examine shape perception from this dual perspective. Through a discussion of seminal research papers in both human and computer vision, the course will explore both classical and current models of shape perception, along with the challenges both communities face.


The course will be run in a seminar-like format, in which 2 students will each present and lead the discussion on a research paper each week. The course grade will be based primarily on a class project (70%), which can take the form of a software system, a comprehensive survey paper, or a research exercise. The remainder of the grade will come from class participation (20%) and the paper presentation (10%). Students can work in groups of 1-2 on their course project, and are encouraged to meet with the instructor early in the semester to converge on a project that aligns well with their interests, their background, and, if applicable, their graduate research. Project proposals are due before class on January 31, 2018. Students will subsequently report their project 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.