Vision: From Neuronal Mechanisms to Computational Models
by Fei-Fei Li
|Course home||Syllabus and lecture notes||Course project|
03/03/2007: Course project proposal due on March 14, 2008
02/09/2007: Syllabus updated!
Instructor: Prof. Fei-Fei Li
Office: 211 Computer Science Bldg.
Phone: (609) 258-8130
Email: feifeili @ cs
Office hour: by appointment
Vision is one of the most important sensory modalities for intelligent living organisms as well as robots and machines. The course will emphasize an interdisciplinary approach aimed at understanding vision at several levels: neurophysiology, psychophysics, cognition, algorithms and computational models. Throughout the course, we will discuss topics in high-level visual processes. For each selected topic, we will survey literatures across the different fields of research, ranging from neuroscience, psychology to computer vision. Some of the topics of the course are scene segmentation, visual attention, biological motion perception, face and/or object recognition, and natural scene perception. Students will be required to present research papers and complete one project (psychophysics or computer modeling).
Course mailing list: https://lists.cs.princeton.edu/mailman/listinfo/cos598b_spr08
(Please join the mailing list as soon as possible. )
Course location and time:
Monday, 1:30pm – 4:20pm, Room 301 CS Bldg
(not required, but highly recommended) S. Palmer (1999). Vision Science: Photons to Phenomenology.
paper summaries (due the Sunday night before) and presentations
1 final project
Attendance and class participation: 20%
Paper summaries and presentations: 30%
Final project: 50%