Syllabus and Lecture Notes

Date

Topic

Reading

Project Due

Assignment

Chapter

Out

In

Jan 15 No Class
Jan 17 Course Introduction & Administration [PDF]
Jan 22 Review of Linear Algebra and Geometric Transformations [PDF]
Jan 24 Camera Models and Projective Geometry [PDF] S30-98, FP1&2, HZ6&8
Jan 29 Camera Calibration [PDF] FP3, HZ7
Jan 31 Single View Metrology [PDF] HZ2,3&8
Feb 05 Review of Assigment #1, Single View [PDF] A1
Feb 07 Single View Metrology [PDF]
Feb 12 Pixels and Image Filtering [PDF] FP7&8
Feb 14 Linear Filters [PDF]
Feb 19 Feature Detectors, Descriptors [PDF] A1
Feb 21 Feature Detectors, Descriptors [PDF] FP 8&9 P1 A2
Feb 26 Feature Detectors, Descriptors II [PDF]
Feb 28 Segmentation and Clustering [PDF] FP14
Mar 05 Epipolar Geometry [PDF] HZ4,9&11; FP10
Mar 07 Stereo Systems and Volumetric Stereo [PDF] HZ11, FP11 A2
Mar 12 Shape from Reflections [PDF]
Mar 14 Presentation by Mr. Youngjib Ham (Ph.D. student, University of Illinois)
Mar 19 No Class- Spring Break
Mar 21 No Class- Spring Break
Mar 26 Structure from Motion - Affine [PDF] HZ6,14&18; FP12
Mar 28 Structure from Motion - Perpsective [PDF] HZ10,18&19; FP13 P2
Apr 02 Fitting and Matching [PDF] HZ4&11, FP16 A3
Apr 04 Optical Flow and Tracking [PDF]
Apr 09 Introduction to Object Recognition - Single Instances [PDF]
Apr 11 Object Recognition - Bag of Words Models [PDF] S696-709
Apr 16 Object Recognition - 2D/3D Part Based Models [PDF] A4 A3
Apr 18 D4AR Automated Monitoring [PDF]
Apr 23 Personnel and Equipment Tracking and Applications for Structual Engineering
Apr 25 Presentation by Prof. Niebles (UDC)
Apr 30 Course wrap-up A4

Remarks:
   Chapter: Chapter in text to be studied BEFORE session in preparation for discussion.
   Supp: Supplemental reading to be studied BEFORE session in preparation for discussion.
   Out: Assignments to be discussed and work to start. All "A" assignments from homeworks.
   Due: Assignments due at the start of this session.
   GL: * Guest Lectures may change depending on the availability of speakers.
   It is very difficult to arrange them 6months in advance due to the professionals' busy schedules.
   P: P1: Project proposal; P2: Project midsemester report; P3: Term project report.

The recommended textbooks are:
   S: Computer Vision: Algorithms and Applications, R. Szeliski, Springer, 2011.
   http://szeliski.org/Book/
   HZ: Multiple View Geometry in Computer Vision, by R. Hartley and A. Zisserman, Academic Press, 2004.    http://www.robots.ox.ac.uk/~vgg/hzbook/
   FP: Computer Vision, A Modern Approach, by D.A. Forsyth and J. Ponce, Prentice Hall, 2003.    http://luthuli.cs.uiuc.edu/~daf/book/book.html