Lecture

Date

Module

Description

Lecturer

Course Materials

PS

1
Tues, Jan 4
Introduction

Introduction to Computer Vision

 
Slides (PDF)

2
Thurs, Jan 6

Case study: Face Recognition

 
Slides (PDF)
Marked Slides (PDF)
Reading Materials:
Turk & Pentland (1991)
Belhumeur et al. (1997)
Viola & Jones (2001)
OpenCV: Ch 13

Fri, Jan 7

TA Section:
Linear Algebra/
Probability Review

Rob Cosgriff
Slides (PDF)

3

Tues, Jan 11

 Image
Structure

Linear Filters
Slides (PDF)
Marked Slides (PDF)
Reading Materials:
Forsyth & Ponce: Ch 7, 8
Szeliski: Ch 3
PS0 Due

4
Thurs, Jan 13

Finding Lines:
From Detection to
Model Fitting

 
Slides (PDF)
Marked Slides(PDF)
Reading Materials:
Forsyth & Ponce: Ch 8, 15
Szeliski: Ch 4.2, 4.3, 6.1.4
Fischler & Bolles (1981)
Canny (1986)

 

 

Fri, Jan 14
3:15PM-5:05PM
TA Section:
Problem Set 1 &
Project Discussion

Rob Cosgriff
Dan Goodwin
Andy Lin
Professor Fei-Fei

PS1 Slides (PDF)
FindMii! Project Slides (PDF)

 

5 

Tues, Jan 18

Clustering and Segmentation I

 
Slides (PDF)
Marked Slides (PDF)
Reading Materials:
Forsyth & Ponce: Ch 14.1 - 14.4
Szeliski: Ch 5.3
Comaniciu & Meer (2001)

6

Thurs, Jan 20

Clustering and Segmentation II

 
Slides (PDF)
Marked Slides (PDF)
Reading Materials:
Forsyth & Ponce: Ch 14.5
Szeliski: Ch 5.4 - 5.5
Shi & Malik (2000)

 

Fri, Jan 21

TA Section:
OpenCV Tutorial

Dan Goodwin
Slides (PDF)

7
Tues, Jan 25
 Camera
Models
Camera Models

 
Linear Algebra Slides (PDF)
Lecture Slides (PDF)
Marked Slides (PDF)
Reading Materials:
Hartley & Zisserman: Ch 2, 4, 6
Forsyth & Ponce: Ch 1 - 3

8
Thurs, Jan 27
Camera Calibration
Slides (PDF)
Marked Slides (PDF)
Reading Materials:
Hartley & Zisserman: Ch 7
Forsyth & Ponce: Ch 3

 

 
Fri, Jan 28
TA Section:
Problem Set 2

Andy Lin

Slides (PDF)

 

9
Tues, Feb 1

Epipolar Geometry

 

Slides (PDF)
Marked Slides (PDF)
Reading Materials:
Hartley & Zisserman: Ch 4, 9, 11
Forsyth & Ponce: Ch 10

 

10

Thurs, Feb 3

Stereo & Multi-view Reconstruction

 
Slides (PDF)
Marked Slides (PDF)
Reading Materials:
Hartley & Zisserman: Ch 4, 9, 11
Forsyth & Ponce: Ch 10

Fri, Feb 4

TA Section:
Midterm Review

Rob Cosgriff
Andy Lin
Dan Goodwin
Aditya Khosla
Slides (PDF)

PS2 Due (5pm)

 
Tues, Feb 8

In-Class Midterm Exam (Midterm Topics)

11
Thurs, Feb 10

Recognition:

Building
blocks

Detectors and Descriptors

12
Tues, Feb 15

SIFT & Single Object Recognition

13

Thurs, Feb 17
Optical Flow & Tracking

 
Slides (PDF)
OpenCV: Ch 10
Szeliski: Ch 8.4 - 8.5
Shi & Tomasi (1994)

 
Fri, Feb 18

TA Section:
Problem Set 3

Dan Goodwin

Slides (PDF)

 

14
Tues, Feb 22

Recognition:

Objects,
Scenes,
Activities

Introduction to
Object Recognition
and
Bag-of-Words Models

 

15

Thurs, Feb 24
Object classification and detection:
a part-based generative model (Constellation model)

 

 

 
Fri, Feb 25
TA Section:
Problem Set 4

Aditya Khosla

Slides (PDF)

 

16
Tues, Mar 1

Object classification and detection:
a part-based discriminative model
(Latent SVM)

 

17

Thurs, Mar 3

Objects in Scenes

Fri, Mar 4

NO TA SECTION

PS4 Due (5pm)

18
Tues, Mar 8

Human Motion Recognition

19

Thurs, Mar 10

Computer Vision:
State-of-the-art and the Future

 

 

 
Wed, Mar 16

 
Fri, Mar 18

Course project presentation and winner demos
Mandatory Attendance for all non-SCPD students