[1] Invitation to 3D Vision: From Images to Geometric Models: Y. Ma, S. Soatto, J. Kosecka and S. Sastry web site
[2] Computer Vision: A Modern Approach: D. Forsythe and J. Ponce, Prentice-Hall, 2003
[3] Image Processing, Analysis, and Machine Vision. Sonka, Hlavac, and Boyle. Thomson.
[4] Computer Vision. Ballard and Brown web site
[5] Computer Vision: Algorithms and Applications. R. Szeliski, 2010, Springer online version of the book

[6] Computer Vision Compendium CVonline
[1] More code details from [1] are here
sample images
sample code

Announcements

Get familiar with Matlab and OpenCV

Schedule (subject to change)

Date	Topic	Assignments/Due dates
Jan 24	- Introduction and course logistics (slides)   - Representation of 3D moving scene, Chapter 2 in [1] (.pdf)   - Chapter 3 in [1] (.pdf) , Chapter 2 in [5]   - Linear Algebra (vectors, 2D transformations, lin.eq., eigenanalysis)   - (slides1) (slides2)	Matlab Materials,   OpenCV installation   Homework 0
Jan 31	- Image Formation (slides)   - Light and Color (slides)   - Introduction to MATLAB and OpenCV (.pdf)	OpenCV code examples   Homework 1   Chapters 3, 4 in [1] or 4.1-4.3 in [2],   2.1, 2.3, 3.1-3 in [5]
Feb 7	- Image operations, filtering (.pdf)   - Image features (.pdf)	Readings Chapters 4 in [5]
Feb 14	- Image Correspondence, Optical Flow
Feb 21	- Advanced Features, Line Fitting, RANSAC
Feb 28	- Stereo, Epipolar Geometry   - Image Stiching, Panoramas
March 6	- 3D reconstruction, uncalibrated two view geometry, camera calibration
March 13	- Spring Break
March 20	- Advanced Stereo, Image Morphing
March 27	- Image Segmentation
April 3	- Detection and Recognition of objects in images
April 10	- Recognition statistical view-point, distriminative learning
April 17	- Face detection, Image Based Retrieval
April 24	- Active Contours, Tracking
May 1	- tba
May 8	- Final Project Presentation slides (.pdf)   - formatting instructions latex (.tar.gz) MS word (.doc)