Teaching

O  Image Understanding

1)  Readings

a)      Richard Szeliski, Computer Vision: Algorithms and Applications (http://szeliski.org/Book/drafts/SzeliskiBook_20100903_draft.pdf)

b)      Related Course: http://www.cs.washington.edu/education/courses/cse576/08sp/

 

 

2)   All Slides: http://pan.baidu.com/s/1skQ9Ykl

  

3) Calendar

 

 

Chapter1:intro

ppt; pdf

 

 

note

Chapter2: Image Formation

ppt; pdf

 

 

 

Chapter3: Image Processing

ppt;pdf

 

 

 

Chapter4.1: Feature Detection and Matching

Feature detection ppt; pdf

SIFT feature     ppt, pdf

Feature matching ppt; pdf

Project 1

Features

 

 

Test: 4-1

Due to 2015-4-12

Chapter 4.2 : Edge, line

ppt; pdf

 

 

Chapter 5: Segmentation

Segmentation Algorithms ppt; pdf

Graph-Based Segmentation ppt; pdf

 

 

Chapter 9: Image Stitching

Stitching: Motion models ppt; pdf

Image Stitching and blending ppt; pdf

Panoramas ppt;

Poisson Image Editing ppt;

Drag-and-Drop ppt;

Project 2

Panorama

 

Test: 4-20

Due to 2015-5-3

Chapter 8: Dense Motion Estimation

Optical Flow ppt

Performance of optical flow ppt

Dense Motion Estimation ppt

Video Stabilization ppt

 

Chapter 14: Recognition

Object Recognition Intro ppt

Face Detection Survey ppt

Robust Real-time Face Detection ppt

Face Recognition ppt

Project 3

Eigenfaces

 

 

Test 5-5 Due to 2015-6-1

Object Categorization intro

Bag of Visual words  ppt

Part-based model  ppt

Context    ppt

Categorization & Segmentation ppt

Large scale image retrieval ppt

 

3)   Materials

a)    Related codes

b)   Papers