| Date | Instructor | Topic | Readings | Projects | Homework |
| (1) Wed, Jan 7 | Thrun and Bradski | Administrative (10 min), Image formation: Pinhole camera, thin lense | Trucco Ch1&2 Optional: Forsyth Ch1
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Download calibration toolbox website and step through first example | |
| (2) Thu, Jan 8, 6pm Gates B12 (optional) |
Bouguet/Bradski | Special session I: Matlab Tutorial, but mostly a detailed introduction to camera calibration. Even if you are a Matlab expert you should attend. food tba | Matlab and Calibration Tutorial (22M)
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Should have stepped through first example in calibration toolbox. Not necessary, but we encourage you to bring Matlab and the Calibration toolbox on a laptop. | |
| (3) Mon, Jan 12 | Thrun | Features I: Filters, edges, corners, Hough transform sub-pixel accuracy | Chapters 4 and 5 in Trucco | Project selected | Assignment 1 is available |
| (5) Wed, Jan 14 | Bradski | Features II: Fourier, Phase, Pyramids, SIFT features, log-polar
Optional Extension: Texture, Morphology, Connected Components, Bilateral Filtering, and more |
Forsyth Ch 7. SIFT features (0.5M) (Just make notes on the flow of the algorithm). Steerable pyramids (1M) pp 1-15. Optional: Forsyth Ch 9. |
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| (4) Thu, Jan 15, 6pm Gates B12 (optional) |
Bradski | Special session II: Open Source Computer Vision Library (OpenCV) Tutorial, food tba (bring your laptop!) | Obtain and install library by following download link from OpenCV site | ||
| Mon, Jan 19 | Martin Luther King Day, Jr., Day (no classes) | Assignment 1 is due.
Assignment 2 is available |
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| (6) Wed, Jan 21 | Thrun | Camera Calibration | Chapter 6 in Trucco | ||
| (7) Mon, Jan 26 Location: TCSeq 200 |
Shi | SPECIAL LECTURE: Prof Jianbo Shi's presentation on "Finding Unusual Activity in Video". Note the different location! | Assignment 2 is due.
Assignment 3 is available |
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| (8) Wed, Jan 28 | Thrun | Stereopsis with A 3-D scan of a Frog by James Davis | Chapter 7 in Trucco | ||
| (9) Mon, Feb 2 | Bradski | Optical flow, affine invariant optical flow, regularization, normal flow. Lecture (4.6M) | Read Lucas-Kanade in Pyramid(0.2M) and Affine Lucas Kanade in Pyramid (0.2M) Then scan Trucco pp: 177-189 Matlab Affine Tracker code. |
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| (10) Wed, Feb 4 | Thrun | Structure from Motion: Affine method, projective case and correspondence | SFM Paper by Tomasi and Kanade, Optional: Paper on correspondence in SFM | Assignment 3 is due. | |
| (11) Mon, Feb 9 | Bradski | Segmentation and Grouping | Forsyth Segmentation
Chapters (3.1M) Read sections: 16.2 (Human Seg); 16.4.2 (K-Means); 16.5 all
(Normalized Cuts) Optional, except for anyone on a project
involving stereo or SFM 17.5.2-17.6.3 (RANSAC) Scan: Background segmentation comparitive study (0.8M) and familiarize yourself with Mean Shift Segmentation (0.5M) |
Project interim report submitted | |
| (12) Wed, Feb 11 | Thrun | Geometric features: planes, snakes, and active contours with animations | optional paper on fitting planes | ||
| Mon, Feb 16 | President's Day (no classes) | ||||
| (13) Wed, Feb 18 | MIDTERM EXAM | ||||
| (14) Mon, Feb 23 | All | Project Reviews and Feedback | |||
| (15) Wed, Feb 25 | Bradski | Bayes networks for classification and tracking (3M) | paper | ||
| (16) Mon, Mar 1 | Thrun | Advanced tracking: Kalman filters, condensation | |||
| (17) Wed, Mar 3 | Thrun | Markov random fields: superresolution, segmentation | |||
| (18) Mon, Mar 8 | Russakoff | Medical Image Analysis | |||
| (19) Wed, Mar 10 | Bradski | Unsupervised and One-Shot Visual Learning (2.2M) | A
Bayesian approach to one-shot learning of object categories (0.8M) Object class recognition by unsupervised scale-invariant learning (3.6M) |
Final project report extended until Friday at
Midnight! Prepare your talk simultaneously |
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| (20) Sat, March 13, 10am-3pm | All | The Weekend Project Workshop: Final Project Presentation | |||
| Mar 15-19 | No Final Exam! |
