Computer Vision

Fall 2007

 

Please note - specifics of this schedule are subject to change.

 

Dates

Topic

Reading and references

Lectures

Assignments

8/30

Image formation

F&P Chapter 1

slides fullpage

Pset 0 files solutions

9/4

Color

 

F&P Chapter 6

 

The foundations of color measurement and color perception by Brian A. Wandell (optional)

slides fullpage

 

9/6

9/11

9/13

9/18

Features and texture

F&P Chapters 7, 9

 

slides fullpage (binary)

slides fullpage (filters)

slides fullpage (edges, etc.)

slides fullpage (texture)

Pset 0 due 9/6

Pset 1 files

(solutions handed out in class)

9/20

9/25

9/27

Segmentation and fitting

F&P Chapter 14

F&P Chapter 15

 

Generalizing the Hough Transform to Detect Arbitrary Shapes, by D. Ballard

 

Combined Object Categorization and Segmentation with an Implicit Shape Model, by B. Leibe et al.

 

Notes on Snakes, by Vera Kettnaker

 

Paper including dynamic programming solution for active contours, by A. Amini et al.

slides fullpage (grouping)

slides fullpage (fitting)

slides fullpage (active contours)

 

Pset 1 due 9/25

Pset 2 files

(solutions handed out in class)

10/2

10/4

Multi-view geometry and stereo vision

F&P Section 10.1, Chapter 11

Stereo handout from class

slides fullpage (stereo I)

slides fullpage

(stereo II)

 

 

10/9

Midterm exam

 

 

 

10/11

Review of midterm solutions

 

 

Pset 2 due 10/11

10/16

Guest lecture

Shalini Gupta,

3D Human Face Recognition founded on the Structural
Diversity of Human Faces

 

Michael Ryoo,

Recognition from Video

 

 

10/18

Guest lecture

Prof. Dana Ballard

 

 

10/23

 

 

10/25

Calibration & uncalibrated stereo

 

 

slides fullpage

(stereo III)

 

10/30

 

 

 

11/1

 

 

 

 

 

11/6

 

 

 

 

 

 

 

 

11/8

 

 

 

 

 

 

 

11/13

 

 

 

11/15

 

 

Local invariant features

 

 

Recognition and learning

Distinctive Image Features from Scale-Invariant Keypoints, by D. Lowe

 

Video Google: A Text Retrieval Approach to Object Matching in Videos, by J. Sivic and A. Zisserman, 2003.

 

FP 18.1-18.5 Model-based recognition

 

Recognition-by-components: A Theory of Human Image Understanding, by I. Biederman, 1987.(FYI)

 

FP 22.1-22.3 Classifiers, faces

 

Eigenfaces for recognition, by M. Turk and A. Pentland, 1991.

 

Rapid Object Detection using a Boosted Cascade of Simple Features, by P. Viola and M. Jones, 2001.

 

FP 22.5: SVMs

 

Learning Gender with Support Faces, by B. Moghaddam and M. Yang.TPAMI 2002, F&G 2000

 

Unsupervised Learning of Models for Recognition, by M. Weber, M. Welling, and P. Perona, ECCV 2000.

 

Object Class Recognition by Unsupervised Scale-Invariant Learning, by R. Fergus, P. Perona, and A. Zisserman, CVPR 2003.

 

slides fullpage

(local features)

 

 

slides fullpage

(indexing)

 

 

 

 

slides fullpage

(overview, model-based part 1)

 

 

 

 

 

 

slides fullpage

(model-based part 2, faces part 1)

 

 

 

 

slides fullpage

(faces part 2, detection, boosting)

 

 

slides fullpage

(SVMs, unsupervised model learning)

Pset 3 files

(solutions handed out in class)

 

Pset 3 due 11/13

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Pset 4 files

11/20

 

 

11/27

 

 

11/29

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

12/4

Motion, optical flow, tracking

 

 

 

 

Trucco & Verri handout

 

 

FP Chapter 17

 

 

An Introduction the Kalman Filter, by G. Welch and G. Bishop.

 

Learning Silhouette Features for Control of Human Motion, by L. Ren et al., 2004.

 

Condensation: conditional density propagation for visual tracking, by M. Isard and A. Blake, IJCV 1998.

 

Tracking with Non-Linear Dynamic Models, Forsyth & Ponce chapter.

slides fullpage

(optical flow)

 

slides fullpage

(tracking 1)

 

slides fullpage

(tracking 2)

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

outline of course topics

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Pset 4 due 12/4

 

12/6

Wrap-up

 

 

Graduate studentsí reviews and extensions due (hardcopy)

12/13

Final exam deadline

 

 

Turn completed exam in at TAY 5.150 between 9:30 am and 12:30 pm on Dec 13, Thursday.