Class activities will be recorded here.

This page has the entire plan for the semester. For weeks in the future, consider it a plan subject to change. For weeks in the past consider it a record of what we have done. As for the current week, keep a watch for updates and changes.

Week 1 : January 15 - January 21

• Mon

  Martin Luther King Holiday

  Wed

  Introduction to Human Vision (pdf)
  Reading #1
  Reading #2
  Video

  Fri

  Introduction to Visual Attention (pdf)
  Intro Reading
  Main Reading

Week 2 : January 22 - January 28

• Mon

  OpenCV, Geometric Transformations (pdf)
  OpenCV Reference Manual
  Transformations (Szeliski Ch. 2.1)

  Wed

  Geometric Transforms Part 2 (pdf)
  
  

  Fri

  Basics of Fourier Analysis (pdf)
  Intro to Fourier (Szeliski, Ch. 3.4)

Week 3 : January 29 - February 4

• Mon

  PA1 is Due!
  Fourier Analysis Part 2 (pdf)
  
  

  Wed

  Aliasing, Nyquist, & Scale (pdf)
  Aliasing (Szeliski Ch. 2.3.1)
  Image Pramids (Szeleski Ch. 3.5)

  Fri

  Scale & Difference of Gaussians (DoG) (pdf)
  

Week 4 : February 5 - February 11

• Mon

  SIFT class discussion
  SIFT

  Wed

  Introduction to Clustering (pdf)
  Other Lecture Notes
  

  Fri

  Expectation Maximization
  MoG

Week 5 : February 12 - February 18

• Mon

  EM/ViBE class discussion
  ViBE
  

  Wed

  Cross-correlation (pdf)
  Szileski Ch. 8.1.1 & 8.1.2

  Fri

  Simple Tracking (pdf)

Week 6 : February 19 - February 25

• Mon

  Class Discussion PA2 (pdf)
  

  Wed

  MOSSE (pdf)
  MOSSE

  Fri

  Kalman Filters (pdf)
  Kalman Basics

Week 7 : February 26 - March 4

• Mon

  Intriduction to Features (pdf)

  Wed

  Features (pdf)
  

  Fri

  Local Features (pdf)
  HoG

Week 8 : March 5 - March 11

• Mon

  Review for Midterm

  Wed

  Midterm Exam

  Fri

  Midterm post-mortem

Week 9 : March 12 - March 18

• Mon

  Spring Break

  Wed

  Spring Break

  Fri

  Spring Break

Week 10 : March 19 - March 25

• Mon

  Perceptrons (pdf)

  Wed

  Perceptrons II (pdf)

  Fri

  Backpropagation (pdf)
  Backprop

Week 11 : March 26 - April 1

• Mon

  Neural Networks (pdf)
  

  Wed

  What's Wrong with Neural Nets? (pdf)
  TensorFlow

  Fri

  Convolutional Neural Nets (pdf)
  AlexNet

Week 12 : April 2 - April 8

• Mon

  Convolutional Neural Nets (part 2) (pdf)
  ResNet

  Wed

  Convolutional Neural Nets (part 3) (pdf)
  VGG

  Fri

  No More CNNs, please! (pdf)

Week 13 : April 9 - April 15

• Mon

  Expertise (pdf)

  Wed

  PCA (pdf)

  Fri

  PCA part 2 (pdf)

Week 14 : April 16 - April 22

• Mon

  Review for Test #2 (pdf)

  Wed

  Test #2

  Fri

  Test post-mortem

Week 15 : April 23 - April 29

• Mon

  Video Analysis I (pdf)

  Wed

  Video Analysis II (pdf)
  Flags

  Fri

  Flags of Best Fit (pdf)

Week 16 : April 30 - May 6

• Mon

  Review (pdf)

  Wed

  Class Cancelled

  Fri

  Class Cancelled