Computer Vision
Fall 2007
Please note - specifics of
this schedule are subject to change.
|
Dates |
Topic |
|
Lectures |
Assignments |
|
8/30 |
Image formation |
F&P Chapter 1 |
||
|
9/4 |
Color |
F&P Chapter 6 The foundations
of color measurement and color perception by Brian A. Wandell
(optional) |
|
|
|
9/6 9/11 9/13 9/18 |
Features and texture |
F&P Chapters 7, 9 |
Pset 0 due 9/6 (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. |
Pset 1 due 9/25 (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 |
(stereo II) |
|
|
10/9 |
Midterm exam |
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|
|
|
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 Michael Ryoo, Recognition from Video |
|
|
|
10/18 |
Guest lecture |
Prof. Dana Ballard |
|
|
|
10/23 10/25 |
Calibration & uncalibrated stereo |
|
(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 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. |
(local features) (indexing) (overview, model-based part 1) (model-based part 2, faces part 1) (faces part 2, detection, boosting) (SVMs, unsupervised model
learning) |
(solutions handed out in
class) Pset 3 due 11/13 |
|
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. Tracking
with Non-Linear Dynamic Models, Forsyth & Ponce chapter. |
(optical flow) (tracking 1) (tracking 2) |
Pset 4 due 12/4 |
|
12/6 |
Wrap-up |
|
|
Graduate students’ reviews
and extensions due (hardcopy) |
|
12/13 |
Final exam deadline |
|
|
Turn completed exam in at |