CS 213: Visual Perception

Instructor: Aditi Majumder (Office: DBH 4056)
Timings: MW 11:00am-12:20pm

Quarter: Spring 2013

Course Description

This course will serve as an introduction to the process of visual perception. The goal of this course is to provide the student with a understanding of what goes on behind of scenes of human visual perception, and how this understanding can help to advance the technologies of computer vision, computer graphics, multimedia and human computer interaction (HCI).
This course will offer both the physiological and the psychophysical approach to understand human vision and will relate the two fields together to create a consistent and complete understanding of the process of visual perception. For the physiological approach, the course will introduce the areas of lower level visual processing in the receptors of the eye and the lateral geniculate nucleus and higher level visual processing in different areas of the brain. In the psychophysical approach, the course will introduce the different psychophysical models of human vision, like the models of perceptual organization, perceptual segregation, and construction. Concepts of color, depth, movement and their visual perception will be introduced. To relate the materials presented in the context of different areas of computer science, examples of the quantification and use of these physiological and psychophysical models in computer vision, computer graphics, multimedia and HCI will be referenced.

Tentative Course Outline

Grading Policy

Course Materials (Borrowed from E. Bruce Goldstein’s Sensation and Perception, Palmer’s Vision Science and DeValois and DeValois’s Spatial Vision)

Exam

·        Take-home Midterm Exam (Due: May 1, 11:00am) - Key

Practice Questions for Final

·        Practice Questions

References

Survey Projects

1)     [May 1] Objects and Scenes – Vision Science, Stephen E. Palmer (Chapter 6: Sections 6.4 – 6.6, Chapter 7: Sections 7.2 – 7.6) – Mahdi Abbaspour Tehrani[Presentation][Presentation from 2008][Notes from 2008]

2)     [May 6] Shape and Structure – Vision Science, Stephen E. Palmer (Chapter 8) – Siqi Shi[Presentation][Presentation from 2008][Notes from 2008]

3)     [May 8] Perceiving Function and Categories – Vision Science, Stephen E. Palmer (Chapter 9) Timothy Young[Presentation] [Presentation from 2008][Notes from 2008]

4)     [May 13] Perceiving Motion and Events – Vision Science, Stephen E. Palmer (Chapter 10) Jacob Heller [Presentation] [Presentation from 2008][Notes from 2008]

5)     [May 15] Visual Selection and Attention – Vision Science, Stephen E. Palmer (Chapter 11) Jennifer Miller[Presentation] [Presentation from 2008][Notes from 2008]

6)     [May 20] Visual Memory and Imagery – Vision Science, Stephen E. Palmer (Chapter 12)Travis Hummel[Presentation] [Presentation from 2008][Notes from 2008]

7)     [May 22] Advanced Spatial Vision – Spatial Vision, Russell L. DeValois and Karen K. De Valois (Chapter 7 and 8) – Xuan Mei[Presentation] [Presentation from 2008][Notes from 2008]

8)     [May 29] Color Appearance Models - Color Appearance Models, Mark D. Fairchild (Chapter 10, 11, 12, and 13) Mehdi Rahimzadeh [Presentation] [Presentation from 2008][Notes from 2008]

9)     [June 3] Perception in Visualization (http://www.csc.ncsu.edu/faculty/healey/PP/index.html) Samreen Anjum [Presentation]

10)[June 5] Perception and Art Weizhei Ni[Presentation]

 

Some Ideas for Final Projects

·        Perception Based Chrominance Blending for Non-Parametric Multi-Projector Displays – Mahdi Tehrani and Mehdi Rahimzadeh

·        Saliency Based Object Detection in Images/Videos (http://www.robots.ox.ac.uk/~timork/Saliency/ijcv_SalScale.pdf)

·        Perception based tone mapping of HDR images (http://www.cgg.cvut.cz/members/cadikm/papers/cadik-wscg07-hybrid.pdf) – Jennifer Miller and Samreen Anjum

·        Model for Visual Adaptation for Realistic Image Synthesis (http://www.cis.rit.edu/jaf/publications/sig96_paper.pdf)

·        Extraction of High-Frequency Aesthetically-Coherent Colormaps (http://www.geometry.caltech.edu/pubs/LD03.pdf) – Travis and Jacob

·        Building perceptual textures to visualize multi-dimensional data (http://www.csc.ncsu.edu/faculty/healey/download/viz.98.pdf) – Xuan Mei and Siqi Shi

·        Using visual textures for information display (http://portal.acm.org/citation.cfm?id=200974) – Weizhi Ni and Timothy Young