Schedule

Event

Date

Description

Course Material
Assignment

09/25/2018
Tuesday

Problem #1 - Problem released!

[Problem #1 - Problem] [Solutions]
Session

01/26/2019 04:30
Saturday

Sample Raw Event
Due

12/28/2019 20:29
Saturday

Custom Due/Deadline
Lecture

08/26/2024
Monday

Lecture 1- Introduction
[notes] [Jupyter Notebook] [slides1] [slides2] [all]
Readings:
1. Szeliski (2nd Edition) Chapter 1
2. Szeliski 3.1 - 3.3
Lecture

09/02/2024
Monday

Lecture 2 - Image Formation and Camera Models
[notes] [Jupyter Notebook] [slides1] [slides2] [all]
Readings:
1. Szeliski 3.1-3.3, 7.2
2. Szeliski 2.3.1, 3.4-3.5
Lecture

09/23/2024
Monday

Lecture 3 - Features Detection and Invariance.
[notes] [Jupyter Notebook] [slides1] [slides2] [all]
Readings:
1. Szeliski 7.1
2. Szeliski 7.1
Lecture

09/24/2024
Tuesday

Lecture 4 - Image Transformations & Image Alignments.
[notes] [Jupyter Notebook] [slides1] [slides2] [all]
Readings:
1. Szeliski 3.6
2. Szeliski 6.1
Lecture

09/25/2024
Wednesday

Lecture 5 - RANSAC & Camera Calibration.
[notes] [Jupyter Notebook] [slides1] [slides2] [all]
Readings:
1. Szeliski 6.1
2. Szeliski 2.1.3-2.1.6
Assignment

09/25/2024
Wednesday

Problem #2 - Problem released!

[Problem #2 - Problem] [Solutions]
Lecture

09/26/2024
Thursday

Lecture 6 - Panoramas & Single View Modling.
[notes] [Jupyter Notebook] [slides1] [slides2] [all]
Readings:
1. Szeliski 8
2. Szeliski 11.1
Lecture

09/27/2024
Friday

Lecture 7 - Stereo & Light and perception.
[notes] [Jupyter Notebook] [slides1] [slides2] [all]
Readings:
1. Szeliski 12.3-12.5
2. Szeliski 2.2
Exam

10/02/2024 08:00
Wednesday

Midterm
Topics:
1. Topic 1
2. Topic 2
3. Topic 3
Due

11/01/2024 23:59
Friday

problem #1 due
Due

12/13/2024 23:59
Friday

problem #2 due