Vision Seminar, PSY 606V


Spring 1998
Tuesday, Thursday; 3:00 - 4:15 pm
Tuesday: Peirce Hall, Room 255 (quant lab)
Thursday: MSEE, Room 186 (VISE lab)

Professors

Professor: Greg Francis
Office: Peirce 359
Phone: (765) 494-6934
Fax: (765) 496-1264
Email: gfrancis@psych.purdue.edu

Professor: Zygmunt Pizlo
Office: Peirce 365D
Phone: (765) 494-6930
Fax: (765) 496-1264
Email: pizlo@psych.purdue.edu

Grades

The final class grades on line.

Text

Spillmann, L. & Werner, J. (1990). Visual perception: The neurophysiological foundations. Academic Press, Inc., San Diego. Other articles and book chapters will be placed on reserve in the Psychology Library.

Class format

This course is designed to acquaint the student with the approach and findings of selected issues in visual perception. The course will consist of part lecture and part interactive learning with computer labs. Students will design and participate in various visual experiments. The class will be held in the VISE and Quantitative Psychology computers labs so that students and instructors can use computers during the class period. The Visual Perception Online Laboratory has been established to integrate computers into this course.

Homework

Homeworks will require the student to contribute to an experiment that explores some aspect of visual perception. Homeworks will contribute to 25% of your final grade.

Examinations:

There will be a midterm exam and a (non-cumulative) final exam. Each exam is worth 25% of your grade. Here is exam 1. Here is the final.

Project

Each student will develop a project related to visual perception. This can consist of an experiment to test some characteristic of human vision, or build and analyze a computational model of some aspect of vision. The project is worth 25% of your final grade.

Class schedule

The following is a tentative list of class topics.

Philosophical roots of perception (1 week)
Psychophysical methods (2-3 weeks)
Anatomy and physiology (2 weeks)
Lightness & color (2 weeks)
Figure-ground / segmentation (2 weeks)
Motion (1 week)
Shape from motion (1 week)
Stereo vision (1 week)
Dynamic vision (1 week)
Shape constancy (1 week)