Lectures are held on Tuesdays and Thursdays from 3:00pm to 4:20pm @ Building 320-105 .
Recitations are held on select Fridays from 1:30pm to 2:30pm @ Shriram 104 .
Students with Documented Disabilities: Students who may need an academic accommodation based on the impact of a disability must initiate the request with the Office of Accessible Education (OAE). Professional staff will evaluate the request with required documentation, recommend reasonable accommodations, and prepare an Accommodation Letter for faculty. Unless the student has a temporary disability, Accommodation letters are issued for the entire academic year. Students should contact the OAE as soon as possible since timely notice is needed to coordinate accommodations. The OAE is located at 563 Salvatierra Walk (phone: 723-1066, URL: https://oae.stanford.edu/). For OAE letters and requests, please email the head TA Johnny Chang.
Homework releases can be found on GitHub.
Event Type | Date | Description | Lecture Materials | Lecture 1 |
Tuesday January 9 |
Course introduction and Logistics |
[Slides] [Recording] |
---|---|---|---|---|---|
I. Geometric Vision | |||||
Lecture 2 |
Thursday January 11 |
Photometric Image Formation and Color |
[Slides]
[Demo Notebook] (Video on Canvas) |
||
Recitation 1 |
Friday January 12 |
Python/NumPy Review I |
[Blank Notebook] [Filled Notebook] | ||
Lecture 3 |
Tuesday January 16 |
Geometric Primitives and Transformations | [Slides] [Recording] | ||
Lecture 4 |
Thursday January 18 |
Pinhole Camera Model |
[Slides] [Recording] | ||
Recitation 2 |
Friday January 19 |
Linear Algebra Review |
[Slides] | ||
HW0 |
Friday January 19, 11:59pm |
Homework #0 due |
|||
Lecture 5 |
Tuesday January 23 |
Calibration |
[Slides] [Recording] | ||
Lecture 6 |
Thursday January 25 |
Multi-view Geometry |
[Slides]
[Recording] |
||
Recitation 3 |
Friday January 26 |
Pytorch Review |
|||
II. Low-Level Vision | |||||
Lecture 7 |
Tuesday January 30 |
Filters |
Slides
Demo notebook (Video on Canvas) |
||
Lecture 8 |
Thursday February 1 |
Edges and Lines |
Slides
Demo notebook (Video on Canvas) |
Lecture 9 |
Tuesday February 6 |
Local Features and fitting |
Slides Demo notebook (Video on Canvas) |
Lecture 10 |
Thursday February 8 |
Feature detectors and descriptors |
Slides Demo notebook (Video on Canvas) |
||
Project 1 |
Friday February 9 , 11:59pm |
Project 1 due |
|||
III. Visual Pattern Recognition | |||||
Lecture 11 |
Tuesday February 13 |
Segmentation and Clustering |
Slides | ||
Lecture 12 |
Thursday February 15 |
Clustering: K-means and Mean-shift |
Slides | Lecture 13 |
Tuesday February 20 |
Motion and Optical Flow |
Slides Demo (Video on Canvas) |
Lecture 14 |
Thursday February 22 |
ML for CV overview 1/3 |
Slides |
||
Project 2 |
Friday February 23, 11:59pm |
Project 2 due |
|||
Lecture 15 |
Tuesday February 27 |
ML for CV overview 2/3 |
|||
Lecture 16 |
Thursday February 29 |
ML for CV overview 3/3 |
|||
IV. Advanced Topics | |||||
Lecture 17 |
Tuesday March 5 |
CV for Robotics & Self-driving |
|||
Lecture 18 |
Thursday March 7 |
Understanding Videos |
|||
Lecture 19 Greg Shakhnarovich |
Tuesday March 12 |
3D Deep Learning |
|||
Lecture 20 Sarah Tan |
Thursday March 14 |
CV Ethics |
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Demo Day |
Thursday March 21 |
Final project / Demo day |