Computer Vision
Fall 2008
Please note - specifics of
this schedule are subject to change.
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Dates |
Topic |
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Of related interest |
Lectures |
Assignments |
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8/28 9/2 9/4 |
Intro Matlab tutorial Image formation Color |
F&P Chapter 1 F&P Chapter 6 |
Who
Invented Ray Tracing? By G. Hofmann Building
a camera with a Pringles can The
foundations of color measurement and color perception by Brian A. Wandell |
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Pset 0 due 9/4 |
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9/9 9/11 9/16 9/18 |
Features and texture |
Linear filters : Part 1 F&P Chapter 7 sections 7.1, 7.2, 7.5, 7.6 Linear filters : Part 2 Edges : F&P Chapter 8. Binary image analysis : Texture : F&P Sections
9.1, 9.3 |
Texture
Synthesis by Non-parametric Sampling, Efros
& Leung, ICCV 1999 |
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Pset 1 due 9/22 |
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9/23 9/25 9/30 10/2 10/7 10/9 |
Grouping and fitting Fitting & multiple
views |
Segmentation: F&P
Chapter 14 Hough Transform: F&P
Section 15.1 Background models and
Bayesian classifiers No class Thursday Deformable contours: Alignment & warping RANSAC and robust fitting:
F&P Section 15.5, 15.5.2 |
Notes
on Snakes by Vera Kettnaker |
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Pset 2 out 10/2; Download Pset 2 images from Blackboardà Assignments |
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10/14 |
Midterm |
Exam in class |
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10/16 10/21 10/23 10/28 |
Multiple views |
Midterm solutions, mosaics
review Epipolar geometry and stereo vision F&P 10.1.1-10.1.2 F&P 11.1-11.3 Calibration, weak
calibration F&P 10.1.4-5, 3.2 Local invariant features:
detection and description Distinctive Image
Features from Scale-Invariant Keypoints, David
Lowe, IJCV 2004. |
SIFT demo software from
David Lowe Local
Invariant Feature Detectors: A Survey, T. Tuytelaars
and K. Mikolajczyk, 2008. Oxford group’s
software for interest point detection and descriptors |
|
Pset 2 due 10/21 Pset 3 out 10/28 *Access data and provided
code at /v/filer4b/v26q003/ pset3data. Note: do not copy or download the
data; you can use it directly by pointing to the files in your code. |
|
10/30 11/4 11/6
11/13 11/18 |
Recognition and image
retrieval |
Indexing with bags of
words models [Blackboard]:
excerpt on information retrieval Recognition overview, Alignment-based
recognition, pose clustering F&P 18.1, 18.3, 18.5 Appearance-based
recognition and detection F&P 22.1-22.3, 22.5 Appearance-based
recognition and detection, classifiers Part-based models Shape matching |
Oxford Visual Geometry
Group demo
of Video Google system AAAI 2008 tutorial on recognition Rapid
Object Detection using a Boosted Cascade of Simple Features, by P. Viola and M. Jones, 2001. OpenCV
Library, includes code for Viola-Jones face detector Automated
Visual Recognition of Individual African Penguins, by Burghardt
et al., 2004. LIBSVM: code for support
vector machines Learning
Gender with Support Faces, by B. Moghaddam and M.
Yang. TPAMI 2002, F&G
2000 Histograms
of Oriented Gradients for Human Detection, Dalal
& Triggs, CVPR 2005 Learning Silhouette Features
for Control of Human Motion Breaking a Visual Captcha, Mori & Malik. |
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Pset 3 due 11/11 |
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11/20 11/25 11/27 12/2 12/4 |
Motion & tracking |
Motion, optical flow [Blackboard]: Horn Tracking, linear dynamic
models F&P Chapter 17 Thanksgiving Tracking continued Course review and exam
prep. |
Infrared thermal video
analysis of bats, Betke et al. Tracking
People By Learning Their Appearance, Ramanan et
al. |
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Pset 4 out 11/25 (100 points for part A
alone; part B is extra credit) Pset 4 due 12/4 with automatic extension to 12/9 if needed. |
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12/13 Sat |
Final exam 7-10 PM |
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