| Lecture 1 Introduction to Computer Vision |
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| Lecture 2 Binary Image Processing |
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| Lecture 3 Template Matching |
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Hough
Transform |
| Lecture 4 Texture Segmentation |
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| Lecture 5 Edge Detection |
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Robert Canny
Homework4
Homework4_2 |
| Lecture 6 2D Transformation |
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Homework5 |
| Midterm |
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| Lecture 7 State space gradient descent and gibbs sampler |
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Homework6 |
| Lecture 8 Projection model and Stereo vision |
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| Lecture 9 Optical flow and Motion |
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| Lecture 10 Color Image Processing |
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| Lecture 11 Image coding and compression |
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