Course Schedule

Content will be updated throughout the semester, check back often!

** Reminder: Monday/Wednesday classes in SCI 268, Thursday classes in SCI 257 **

Monday Wednesday Thursday

9/3

9/5   Class 1

  • course administration
  • overview of topics
  • slides

9/6   Class 2

9/10   Class 3

9/12   Class 4

  • detecting intensity changes
  • MATLAB programming
  • creating, displaying, and
    processing 2D images
  • slides

9/13   Class 5

9/17   Class 6

9/19   Class 7

9/20   Class 8
Monday Wednesday Thursday

9/24   Class 9

  • human stereo vision
  • multi-resolution stereo processing
  • Assignment 1 due
  • slides

9/26   Class 10

  • Neural processing of stereo
  • Marr-Poggio-Grimson (MPG)
    multi-resolution stereo algorithm
  • Stereo applications
  • slides

9/27   Class 11

  • stereo recap
  • Assignment 2 work

10/1   Class 12

  • analysis of motion
  • measurement of image motion
  • Reading: The neural computation
    of the velocity field (distributed in class)
  • slides

10/3   Class 13

  • computing an image velocity field
  • slides

10/4   Class 14

  • computing an image velocity field
  • Assignment 3 work
  • Assignment 2 due
  • Assignment 3 out

10/8

** Fall Break **

10/10   Class 15

10/11   Class 16
Monday Wednesday Thursday

10/15   Class 17

  • review for Exam 1
  • observer motion with moving
    objects in the scene
  • Assignment 3 due
  • slides

10/17   Class 18

  • introduction to object recognition
  • slides

10/18   Class 19

  • EXAM #1 -- in class

10/22   Class 20

  • computational approaches to
    object recognition
  • alignment methods for recognition
  • slides

10/24   Class 21

10/25   Class 22

  • alignment methods for recognition
  • PCA/eigenfaces for recognition
  • Observer Motion Lab due
  • Assignment 4 out

10/29   Class 23

  • face detection - Viola-Jones
  • slides

10/31   Class 24

  • introduction to neural networks
  • slides

11/1   Class 25
Monday Wednesday Thursday

11/5   Class 26

  • face recognition in the brain
  • slides

11/7   Class 27

11/8   Class 28

  • HMAX model of rapid object
    categorization
  • work on neural networks lab
  • Assignment 4 due

11/12   Class 29

11/14   Class 30

  • convolutional neural networks
    (CNNs) for visual recognition
  • slides

11/15   Class 31

  • EXAM #2 -- in class

11/19   Class 32

  • visual memorability
  • CNN model for memorability
  • slides

11/21

** Thanksgiving Break **

11/22

** Thanksgiving Break **

Monday Wednesday Tuesday

11/26   Class 33

11/28   Class 34

11/29   Class 35

12/3   Class 36

  • learning object concepts from
    motion
  • slides

12/5   Class 37

  • student presentations
    (Jennifer, Michelle, Sophie)
  • wrap-up

12/6   Class 38

  • student presentations
    (Sophia, Riann, Emilia,
    Julia K, Lily, Rosanne)

12/10   Class 39

  • student presentations
    (June & Iman, Julia M,
    Trisha & Sannidhi, Mira,
    Lizao, Han)
  • Color Lab due Tuesday

12/12

reading period begins

12/13

Reading period and final exams week

final papers due on
Thursday, December 20