Class notes

Here you will find my presentation slides and relevant papers. This list will be updates as we go along with the course.

DATE

TOPICS

NOTES

MATERIAL

 

1. Introduction

2. Image filters: blur, edge detection, image gradient, image pyramids, video pyramids.

Introduction  

Image filters

 

 

Feature detectors and descriptors

Features in images

Assignment 1 is out

 

Feature detectors and descriptors

 

 

 

Feature descriptors and feature matching

Features in video and efficient NN

 

 

Motion estimation

Optical flow and parametric motion estimation

Assignment 1 is due
Assignment 2 is out

 

Video mosaics

 Panoramas and Mosaics

 

 

Object recognition

 Part 1: Intro + PCA, Eigenfaces, Viola & Jones

Assignment 2 is due
Assignment 3 is out

 

Object recognition

Part 2: Bag-of-words and part based models

 

 

Action recognition Bag-of-words methods in action recognition

 

 

Detecting people

Classification

Detecting people and tracking them

FLD and SVM

 

 

Video manipulation

Synthesis, visual summaries and retargeting

Assignment 3 stage 1 due

  Colorization
Segmentation
Project presentations
Colorization by Anat Levin
Segmentation
 

 

Project presentations

 

Assignment 3 stage 2 due