Syllabus

Week 1: August 29 – September 2

• course administration
• overview of course topics
• MATLAB introduction
• Reading: Excerpts from Vision, by David Marr
• Introduction to MATLAB
• Lab 1 handout
• slides

• detecting intensity changes in digital images
• MATLAB basics
• Reading: Edge Detection in Computer Vision Systems
• edge detection slides
• MATLAB slides

Week 2: September 5 – 9

• MATLAB programming
• creating, displaying and processing 2D images
• Assignment 1 out

• edge detection in 2D images
• Reading: Excerpts from Vision Science, by Stephen Palmer

Week 3: September 12 – 16

• class discussion of Marr's framework
• early processing in biological vision systems
• slides

• more MATLAB
• edge detection
• Edge Detection Software
• Assignment 2 notes
• Assignment 2 out

• stereo geometry
• stereo correspondence problem
• Marr-Poggio cooperative stereo algorithm
• Reading: Excerpt from Vision Science, by Stephen Palmer
• slides
• Assignment 1 due
• electronic submission
• Assignment 2 extra credit problem

Week 4: September 19 – 23

• human stereo vision
• Marr-Poggio multi-resolution stereo algorithm
• slides

• making stereograms
• Marr-Poggio cooperative stereo algorithm
• MATLAB exercise
• Magic-Eye slide
• Stereo Software
• Assignment 3 out

• MPG multiresolution stereo algorithm
• Stereo vision applications
• slides
• Assignment 2 due

Week 5: September 26 – 30

• image formation
• 3-D shape from shading
• Reading: Chapter by Robert Woodham
• slides

• stereo correspondence algorithms
• Assignment 4 out

• computing 3-D shape from shading
• perception of shape from shading
• Reading: Motoyoshi et al. paper and Landy paper
• slides
• Assignment 3 due

Week 6: October 3 – 7

• shape-from-shading methods
• shape-from-shading applications
• applications slide
• Exam 1 coverage

• image formation
• shape from shading
• Lab 5 handout
• Assignment 5 out

• discussion of Motoyoshi et al. and Landy papers
• motion measurement
• slides
• Anderson & Kim paper
• Assignment 4 due

Week 7: October 10 – 14

• exam review: edge detection and stereo
• motion measurement
• Lab 6 handout

  ** EXAM 1 -- in class **

Week 8: October 17 – 21

• computing the 2-D velocity field
• slides

• motion measurement
• Assignment 6 out

• motion measurement
• Reading: Ecological Robotics
• Assignment 5 due

Week 9: October 24 – 28

• human motion measurement
• recovering observer motion and 3D scene layout
• human motion slides
• observer motion slides
• Questions for Ecological Robotics paper

• recovering observer motion
• Assignment 7 (Part I) out

• recovering 3D structure from motion
• Assignment 6 due
• sfm slides

Week 10: October 31 – November 4

• discussion of Ecological Robotics
• visual-motor slides

• discussion of Ecological Robotics (cont'd)
• 3D structure from motion
• Assignment 7 (Part II) out
• Exam 2 Coverage

• 3D structure from motion
• analysis of color
• Reading: Land's Retinex Theory
• slides

Week 11: November 7 – 11

• analysis of color
• visual recognition

• exam review: shape from shading, motion analysis
• Land's Retinex Theory
• Assignment 7 due
• slides

  ** EXAM 2 -- in class **

Week 12: November 14 – 18

• visual recognition
• slides

• object recognition
• Assignment 8 out
• slides

• object recognition
• Reading: 19 things to know about face recognition
• slides

Week 13: November 21 – 25

• face recognition
• slides

 ** THANKSGIVING **

 ** NO CLASSES **

Week 14: November 28 – December 2

• face recognition
• Assignment 8 out
• slides

  ** NO LAB THIS WEEK **

  ** project meetings **

• discussion of 19 things to know about face recognition

Week 15: December 5 – 9

student presentations

(Dana, Lucy, Stephanie, Taili, Carolyn)

student presentations

(Margaret, Yrianna, Nicole, Sonja, Lauren)

Assignment 8 due

  ** Final paper due **

  ** Friday, 12/16 **