Instructor: Jack Tumblin
Office: jet@cs.northwestern.edu;
http://www.cs.northwestern.edu/~jet/
(847)
467-2129
Rm 350 CS
Dept (1890 Maple Ave),
LookLab: Rm 227 (no phone yet).
Class Newsgroup: c95.ibmr (click here) Share questions and advice.
Textbook: Multiple View Geometry
in Computer Vision,
Richard Hartley and Andrew Zisserman, Cambridge University Press (c)2000.
plus a additional readings available on the Web.
Classes: Tues/Thurs 4:30-6:00pm , with a 10-minute mid-point break.
Part 1: 4:30-5:10 (?Help Sessions on some Thursdays?)
(10 min break)
Part 2: 5:20-6:00 (Lecture--don't miss it!)
--I recommend doing assigned readings BEFORE attending class.
Otherwise you won't have any good questions to ask,
which are also strongly encouraged.
--Please don't skip class to work on your project:
instead, come to class and ask/learn how to do the hard
parts. It's far more efficient.
Grading: 5 Self-Contained Programming
Projects,
1 Written Midterm Exam.
(I changed my mind: no final exam):
| Filename Prefix | Topic | Due Date | Weight |
| p1<your last name> | Image Grid Viewer | Tues April 16 | 5% |
| p2<your last name> | 2D Projective Image Warper | Thurs May 9 | 15% |
| Homework 1 | Thurs May 16 | 5%? | |
| p3<your last name> | 3D Projective Image Warper | 20% | |
| p4<your last name> | Monocular Camera Calibrator | 20% | |
| p5<your last name> | 2-Image Epipolar Geometry Finder | 20% |
Homework Turn-in Instructions: click here
Schedule:
| Week | Date | Topic | Reading | Lecture Notes |
| 1 | April 4 (Thurs) | Admin details, Introduction, Background Review | --- | IBMRlecture01.ppt |
| 2 | April 9,11 | 2D Homogeneous Coordinates & Transformations, ideal points, line at infinity | Chapter 1 'Projective Transformations of 2-Space' Sections 1.0--1.6 |
IBMRlecture02.ppt IBMRlecture03.ppt
|
| 3 | April 16,18 Project 1 due Tues April 16 |
2D View Interpolation:, conics and angular measures. SVD review. | Chapter 1 'Projective Transformations of 2-Space' Sections 1.7--end of chapter. |
IBMRlecture04.ppt review.txt IBMRlecture05.ppt |
| April 23,25
Project 2 assign |
Camera views of points in 3D; height fields and more | Chapter 2 'Projective Transformations of 3-Space' | IBMRlecture06.ppt IBMRlecture07.ppt |
|
| 4 | Apr 30,May 2 Homework1 assign May 7,9 |
Finding an unknown matrix: Good Estimation & Optimization Methods | Finish Chapter 2.
Chapter 3-3.6. Skim through to the end of Chapter 4. |
IBMRlecture08.ppt IBMRlecture09.ppt |
| 5 | May 7,9 Drop Day: May10 Project 2 due May 9 |
Camera Views using Computer Vision Jargon | Chapter 5 (Little is new but notation!) |
Midterm Review |
| 6 | May 14,16 |
Where am I? Finding the Camera Matrix from known 3D Points | Chapter 6, skim through to the end of Chapter 7 |
IBMRlecture11.ppt IBMRlecture12.ppt |
| 7 | Merging Multiple Camera Views | Chapter 8: Epipolar Geometry and the Fundamental Matrix |
IBMRlecture13.ppt IBMRlecture14.ppt |
|
| 8 | May 21,23 | Seminal IBMR Papers I * | (2 papers chosen in class) |
IBMRlecture15.ppt IBMRlecture16.ppt |
| 9 | May 28,30 |
Seminal IBMR Papers II* | (2 papers chosen in class) |
IBMRlecture17.ppt IBMRlecture18.ppt |
| 10 | June 4,6 (last class week) |
IBMR Research Topics and their precursors (e.g. Nagging Problems) Project Demos (resolution and data-bloat, boundaries, sampling, depth discontinuities, transparency, particles, visual perception & tone mapping) |
No reading : Finish your project, But come to class! |
IBMRlecture19.ppt |
| 11 | Exam Week |
* (a close study of a 2 high-quality journal papers chosen by student
consensus
Suggestions:
-Depth-sorting pixels without depth
values: 'Plenoptic Sampling'(McMillan95)
-Click the Corners, Make a Building:
the 'Facade' system (Debevec96)
-Making Mona Lisa Turn her head: 3D
reprojection without depth (Seitz 98)
-Your Own Magic Wand: Shape from
Shadows (Bouget98)
-BTFs; why texture maps are not
enough(Dana99)
-Image-based Visual Hulls (2001)
-Polynomial Texture Maps
(Malzbender2001)
Useful IBMR Links: (Please contribute to this list)
PLY file reader/writer code, model repositories
Freeware 3D model viewer (NAME?)
MATLAB basics
Any and all SIGGRAPH short courses on IBMR topics
Computer Vision Conferences and Journals (ICCV, etc.)
Microsoft Computer Vision Library
Intel Computer Vision Library
Let me know if you find other good tools, tutorials, etc.