Week 1 (Intro, Radiometry)
Week 1 (Intro, Radiometry)
Introduction (#1)
Radiometry, part 1 (#2)
Set up Moodle, Piazza, Gradescope
Start Homework 01 (due Sep 7)
Richard Szeliski book (RS), Chapter 1 and 2
The speed of processing in the human visual system, Thorpe et al., Letters to Nature, 1996
Surface reflectance estimation and natural illumination statistics, R.O. Dror, E.H. Adelson, and A.S. Willsky, Workshop on Statistical and Computational Theories of Vision 2001
Chapter 3 of Forsyth and Ponce on shape from shading.
Wikipedia: Photometric stereo, BRDF
Radiometry, part 2 (#3)
Light and color, part 1 (#4)
Start Mini-project 01
Work on Homework 01 (due Sept 7)
Richard Szeliski, Chapter 2
Color matching applet from Stanford
B. Berlin and P. Kay, Basic Color Terms: Their Universality and Evolution (1969)
D.A. Forsyth, A novel algorithm for color constancy
Wikipedia: Trichromacy, Color constancy
https://www.ted.com/talks/beau_lotto_optical_illusions_show_how_we_see?language=en
Light and color, part 2/3 (#5,#6)
Image formation, part 1 (#6)
Work on Homework 02, Mini-project 01
Image formation, part 2 / 3 (#7, #8)
Homework 03, Mini-project 01
Optical flow, part 1-4 (#9, #10)
Homework 04, Mini-project 02
Richard Szeliski, Ch. 7, 8, 9
Motion magnification:
Modeling natural images (#11)
Linear filtering, part 1 (#12)
Homework 05, Mini-project 02
Richard Szeliski, Ch. 3
Hybrid image gallery: http://cvcl.mit.edu/hybrid_gallery/gallery.html
Linear filtering, part 2; Image alignment, part 1 - corner detection (#13)
Image alignment, part 2 - blob detection (#14)
Homework 06, Mini-project 03
Richard Szeliski, Ch. 4, Ch. 6
Harris corner detector: https://en.wikipedia.org/wiki/Harris_Corner_Detector
David Lowe's SIFT page: https://www.cs.ubc.ca/~lowe/keypoints
Lindberg's scale-space theory: https://www.tandfonline.com/doi/abs/10.1080/757582976
Image alignment, part 3 - blob detection wrap up, SIFT demo, transformations (#15)
Image alignment, part 4 - model fitting, RANSAC, image warping (#16)
Homework 07, Mini-project 04
Richard Szeliski, Ch. 4, Ch. 6
Harris corner detector: https://en.wikipedia.org/wiki/Harris_Corner_Detector
David Lowe's SIFT page: https://www.cs.ubc.ca/~lowe/keypoints
Lindberg's scale-space theory: https://www.tandfonline.com/doi/abs/10.1080/757582976
Alignment applications (#17)
Intro to Recognition (#18)
Homework 08, Mini-project 04
Richard Szeliski, Ch. 4, Ch. 6
Intro to Recognition, part 2 (#19)
Linear models (#20)
Homework 09, Mini-project 04
Chapter on "Linear models" in the CIML book (http://ciml.info/)
Multi-layer perceptrons, convolutional networks, and their properties (#21, 22)
Homework 10, Mini-project 05
Chapter on "Neural networks" in the CIML book (http://ciml.info/)
Convolutional networks in Pytorch, Tensorflow, etc
Chenyun's tutorial on getting started with pytorch (see piazza)
Transfer learning (#23)
Graphics and vision (#24)
Homework 11, Mini-project 05
Chapter on "Neural networks" in the CIML book (http://ciml.info/)
Convolutional networks in Pytorch, Tensorflow, etc
Chenyun's tutorial on getting started with pytorch (see piazza)