Week 1: Jan. 5, 7

  • Pick up a copy of the background sheet, fill it out and return it to me.
  • Pick up a copy of the course outline.
    		• Readings
  • David Hubel and Torsten Wiesel. "Brain Mechanisms of Vision". Scientific American, 241:150--162, 1979. This article is available online here.
    		• Lectures
    intro.ppt.gz
    brain.ppt.gz

    Weeks 2 and 3: Jan 12, 14, 19, 21

    Readings (on reserve at the PSE reference desk)
  • Clare D. McGillem and George R. Cooper. "Continuous and Discrete Signal and System Analysis"
    Chapter 1: Signals and Systems
    Chapter 2: Convolution
    Chapter 3: Fourier Series and Transforms (review the basics only)
  • Alan V. Oppenheim and Alan S. Wilsky. "Signals and Systems"
    Chapter 2: Signals and Systems
    Chapter 3: Linear Time-Invariant Systems
    Chapter 4: Fourier Analysis for Continuous-Time Signals and Systems (review the basics only)
    •      		Notes
    David Heeger's notes on Linear Systems
    Introductory (ps) (PDF)
    Advanced (pdf)

    Assignment 1 POSTED.
    Click here or click on the assignments tab in mycourses.

    Week 4: Jan. 26, 28

    Readings
  • Emanuele Trucco and Alessandro Verri. "Introductory Techniques for 3-D Computer Vision"
    Chapter 7: Stereopsis
    •
  • David Marr and Ellen Hildreth. "Theory of Edge Detection". Proceedings of the Royal Society of London, B 207: 187--217, 1980.
  • Emanuele Trucco and Alessandro Verri. "Introductory Techniques for 3-D Computer Vision"
    Chapter 2: Digital Snapshots
    Chapter 3: Dealing With Image Noise
    •      		Notes
    Convolution Applets
    The Johns Hopkins University signals and systems demonstrations web page.

    Week 5: Feb. 2, 4

    Readings
  • Emanuele Trucco and Alessandro Verri. "Introductory Techniques for 3-D Computer Vision"
    Chapter 7: Stereopsis
    •      		Notes

    Midterm 1 on Feb. 4th (in-class).

    Week 6: Feb. 9, 11

    Readings
  • Emanuele Trucco and Alessandro Verri. "Introductory Techniques for 3-D Computer Vision"
    Chapter 9: Shape From Single Image Cues
  • B.K.P. Horn. "Robot Vision"
    Chapter on "Reflectance Map: Shape From Shading".
    		• Notes
    Fundamental Equation of Radiometric Image Formation.
    Curve evolution and     shape from shading

    Assignment 2 to be posted in week 6

    Week 7: Feb. 16, 18

    Readings
  • Emanuele Trucco and Alessandro Verri. "Introductory Techniques for 3-D Computer Vision"
    Chapter 8: Motion
    •      		Notes On Linear Algebra
    (Additional notes are available over the web.)
    Peter J. Cameron's Notes Linear Algebra

    Week 8: Feb, 23, 25

    Readings
  • Emanuele Trucco and Alessandro Verri. "Introductory Techniques for 3-D Computer Vision"
    Chapter 8: Motion
  • B. K. P. Horn and B. G. Schunck. "Determining Optical Flow"
    Reading in course pack.
    •

    Week 9: March, 2, 4

    Readings
  • STUDY BREAK, no class this week.

    • Week 10: March 9, 11

    Readings
  • Emanuele Trucco and Alessandro Verri. "Introductory Techniques for 3-D Computer Vision"
    Chapter 10: Recognition
  • Irvin Biederman. "Recognition By Components: A Theory of Human Image Understanding" Psychological Review, 94(2):115-147, 1987. PDF available here.
    		• Lectures
    Peter Savadjiev's notes on appearance-based recognition.

    Week 11: March 16, 18

    Readings
  • Siddiqi, Shokoufandeh, Dickinson and Zucker "Shock Graphs and Shape Matching"
    International Journal of Computer Vision 35(1),13-32, 1999. PDF available by searching for this title here from a McGill IP address.

    • Week 12: March 23, 25

    Readings
  • David Lowe "Distinctive Image Features from Scale-Invariant Keypoints"
    International Journal of Computer Vision 60(2), 91-110, 2004. PDF available by searching for this title here from a McGill IP address.
  • Robert Collins "Object Recognition Using SIFT Keys". PDF available here.
    		• The second in-class test will be on Wednesday April 1st.

    Week 13: March 30, April 1

    Readings
  • Malladi, Sethian and Vemuri "Shape Modeling with Front Propagation: A Level Set Approach"
    IEEE Transactions on Pattern Recognition and Machine Intelligence, 17(2), 158--175, 1995. PDF available by searching for this title here from a McGill IP address.

    • Second in-class test on Wednesday April 1st. A list of topics will be posted on mycourses.

    Week 14: April 8

    In class project presentations
  • Stephanie and Andrew
  • Romain and Jiangze
  • Sebastien and Damien
  • Alexander and Fiona
  • Maor and Andrew
  • Luc and Robert
  • Rodolf and Neve
  • Vikram
  • Jean

    • Week 15: April 13

    In class project presentations
  • Ethan and Qiyang
  • Alonso and Maude
  • Mayank and Vidyasagar
  • Emil and Calvin
  • Atena and Andrew
  • Shant and David
  • Henry and Tyler
  • Alex and Brendan