Date |
Lecture topic |
New assignments |
Assignments due |
Reading |
Jan. 30 |
Introduction. Color and light.
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Assignment 1: Read Lightness Perception and Lightness Illusions Come up with five questions relevant to the paper. These can be things you didn't understand after a careful reading of the paper, or questions which the paper raises. Turn in the answer written up as a .pdf file. You will be graded on the depth of your questions and how much thought you were judged to have put into them. Expectations of graduate students will be higher. |
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Feb. 1 |
Introduction to using
MATLAB
for Computer Vision.
(Lecture Diary)
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Feb. 6 |
Color constancy |
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Assignment 1 Due |
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Feb. 8 |
Pinhole cameras and perspective projection. Started radiometry. |
Assignment 2:
Colorizing the Prokudin-Gorsky photo collection
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Slides |
Feb. 13 |
Radiometry |
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Slides |
Feb. 15 |
Classifying object using reflectances. Imaging aberrations |
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Assignment 2 Due |
Slides |
Feb. 20 |
Depth images, spatial resolution, sampling, log polar representations |
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Slides |
Feb. 22 |
Nyquist sampling theorem, advantages of hexagonal sampling, pixel neighborhoods. |
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Slides |
Feb. 27 |
MAP Classification: Parametric and Non-parametric estimation of probability distributions |
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Mar. 1 |
Nearest Neighbor methods and the Bayes Error Rate: The importance of the distance between points |
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Mar. 6 |
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Assignment 3 (rawImage.dat) |
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Mar. 8 |
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Mar. 13 |
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Mar. 15 |
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Mar. 20 |
Spring Recess |
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Mar. 22 |
Spring Recess |
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Mar. 27 |
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Mar. 29 |
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Assignment 4 (training_data.mat,test_data.mat) |
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Apr. 3 |
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Apr. 5 |
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Apr. 10 |
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Apr. 12 |
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Apr. 17 |
NO LECTURE: MONDAY SCHEDULE |
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Apr. 19 |
Optical flow 1 |
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Apr. 24 |
Optical flow 2 |
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Apr. 26 |
Optical flow 3 |
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May. 1 |
Features and edges |
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May. 3 |
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Assignment 5
training_10.mat
training_100.mat
testing_10.mat
testing_100.mat
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May. 8 |
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May. 10 |
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May. 15 |
Last Day of classes |
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