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. Through individual course projects, students will be given the opportunity to explore a shape perception topic of their choice in greater depth.