| Date | Topic | Assignments/hWs | References |
| 1/23/19 | Introduction + basics | ||
| 1/25/19 | Basic image processing: filtering [ ppt | pdf ] |
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| 1/28/19 | Convolution + Fourier transforms [ppt | pdf ] |
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| 1/30/19 | Fourier transforms [ppt | pdf ] |
Demo [notebook | html] | |
| 2/1/19 | Fourier transforms II [ppt | pdf] |
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| 2/4/19 | Image resizing - I [ppt | pdf] |
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| 2/6/19 | Image resizing - II [ppt | pdf] |
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| 2/8/19 | Segmentation and grouping - I [ppt | pdf] |
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| 2/11/19 | Segmentation and grouping - II [ppt | pdf] |
Numpy Tutorial | |
| 2/13/19 | Segmentation and grouping - III [ppt | pdf] |
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| 2/15/19 | 3D reconstruction - overview [ppt | pdf] |
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| 2/18/19 | Corners and feature detectors [ppt | pdf] |
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| 2/20/19 | Harris corner detector | ||
| 2/22/19 | Guest lecture | PA1 due (2/21 at 11:59 pm)/PA2 released | |
| 2/25/19 | No class - Feb break | ||
| 2/27/19 | Invariance in feature detection [ppt | pdf] |
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| 3/1/19 | Feature descriptors and matching [ppt | pdf] |
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| 3/4/19 | Feature descriptors and matching [ppt | pdf] |
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| 3/6/19 | Geometry of image formation [ppt | pdf] |
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| 3/8/19 | Geometry of image formation |
PA2 due | |
| 3/11/19 | Homogenous coordinates and camera calibration[ppt | pdf] | ||
| 3/13/19 | Prelim review | Calibration[ppt | pdf] | ||
| 3/15/19 | Homogenous coordinates and calibration | ||
| 3/18/19 | Calibration | PA3 released | |
| 3/20/19 | Calibration | ||
| 3/22/19 | Calibration and homography estimation[ppt | pdf] | ||
| 3/25/19 | RANSAC | ||
| 3/27/19 | Two-view stereo [ppt | pdf] | ||
| 3/29/19 | Two-view stereo | Epipolar Geometry [ppt | pdf] | ||
| 4/1/19 | No class - Spring break | ||
| 4/3/19 | No class - Spring break | ||
| 4/5/19 | No class - Spring break | ||
| 4/8/19 | Epipolar geometry | Structure-from-motion [ppt | pdf] | PA3 due | PA4 released | |
| 4/10/19 | Epipolar geometry | Structure-from-motion [ppt | pdf][ | ||
| 4/12/19 | Photometric stereo - I[ppt | pdf] | ||
| 4/15/19 | Photometric stereo - II[ppt | pdf] | ||
| 4/17/19 | The recognition problem | ||
| 4/19/19 | Intro to ML - Optimization / ERM principle [ppt | pdf] | ||
| 4/22/19 | Regularization | Linear classifiers and bag of words | PA4 due/PA5 released | |
| 4/24/19 | Neural networks | convolutional networks[ppt | pdf] | ||
| 4/26/19 | Backpropagation | ||
| 4/29/19 | Image classification and transfer learning [ppt | pdf] | ||
| 5/1/19 | Image classification & transfer learning | ||
| 5/3/19 | Semantic segmentation [ppt | pdf] | ||
| 5/6/19 | Research overview / Conclusion | PA5 due |