Instructors | Office (Office hours) | Email (Phone) |
---|---|---|

Tai Sing Lee (Professor) | Mellon Inst. Rm 115 | tai@cnbc.cmu.edu |

GHC 8017 (Tu/Thur 4:30-5:30 pm), MI 115 (Wed 9:30-10:30) | ||

Mabaran Rajaraman (385 TA) | W 3:30-4:30 (every week), F 4:30-5:30 (every other week) B 127 Hamerschlag | mabaran@cmu.edu |

Ben Poole (385 TA) | M 4:30-5:30 (every week). F: 4:30-5:30 (every other week) GHC 5201 or 5205 clusters | ben@cmu.edu |

**Class location and time:**Wean 7500. Tuesday, Thursday 10:30 a.m - 11:50 a.m.**Website:**http://www.cnbc.cmu.edu/~tai/cv11.html (course info)**Course directory:**/afs/andrew.cmu.edu/scs/cs/15-385 (some assignments materials)**Blackboard:**http://www.cmu.edu/blackboard/ (Both 385/685 students should use 385 BB for access of course materials and announcements. 685 students should also check their 685 BB for additional requirements

- Handouts in Blackboard.
- Richard Szeliski,
*Computer Vision: Algorithms and Applications*. Springer, 2010. ( draft available on-line: http://szeliski.org/Book/ )

- Please turn OFF your laptop, cell phones or any other electronic devices in the classroom or you will be asked to leave the classroom. Thank you.

Evaluation | % of Grade |
---|---|

4 Assignments | 50 |

Quiz 1 | 10 |

Term Project | 25 |

Quiz 2 | 15 |

685 | see additional requirement |

- You will have about 2 weeks to do each homework assignment. Homework report should be type-written. You should submit a hardcopy, documenting all the answers and results in class on the due day, as well as a softcopy of write-up and the codes to Blackboard before 10:00 a.m. on the due day. Blackboard submission after 10:00 a.m. is considered late.
- 385 students are allowed to collaborate in the two first assignments and in the term project, but not in the third and fourth assignments. Each should submit a copy of the solution, but should list his/her partner, if any, on the first page of the report.
- 685 students need to complete all the work required of 385, and compete at the same scale. They have to complete the additional challenge questions in each homework (no collaboration). The total grade for these additional questions for all the assignments have to be over 80 percent to be considered satisfactory. No collaboration is allowed for 685 students in any work.

- Each student has ONE chance to turn in one of four the homework assignments late within one week without penalty. However, Blackboard submission after noon on the due day is considered late.
- If you need to submit a late homework after using the one free late, you will receive 5 percent deduction of your maximum credit per lecture until the solution set is released.
- No extension possible for the term project.

- 385 students have to do a term project. They might work in pair.
- 685 students have to do a term project individually, no partner allowed. In addition, their projects need an extensive background review.
- The term project will consist of a (1 page) proposal, a (1 page) progress report, and a (up to 6 page) final report, in the CVPR format provided. Matlab codes and additional output should also be submitted as supplementary materials in a different pdf/doc file and/or matlab files.
- The projects will be presented on the day of the Final Exam. Format to be defined.

- There will be two quizzes to test understanding of the materials covered and discussed in the lectures.

- (1) 685 students have to complete the additional challenge questions in each homework (no collaboration). The total grade for these additional questions for all the assignments have to be over 80 percent to be considered satisfactory. In the event of unsatisfactory performance, 685 students will be given a second chance to make up one challenge homework by doing an instructor specified challenge during the term project period.
- (2) Their project is expected to be more substantial, and the term paper/report is expected to be accompanied by a in-depth literature review like a conference paper.

- 385 students: A for total grade >= 88 %, B: < 88 AND >= 75, C: < 75, >=60. F for cheating.
- 685 students: A for total grade >= 88 % AND satisfactory performance of the additional assignments.

- Matlab tutorial sessions:
- Hunt Lower Level Near/Far 5:30 PM-7:00 PM 01/20/2011
- Hunt Lower Level Near/Far 5:30 PM-7:00 PM 01/26/2011
- Lab/Help sessions: The teaching assistants will hold "Lab/Help" sessions every other week, at the same place, and at the same time, to help students with programming issues as well as homework assignments.

Date | Lecture Topic | Relevant Readings | Assignments/Help Sessions | |
---|---|---|---|---|

IMAGE AND FEATURE REPRESENTATION | ||||

T 1/11 | 1. Introduction to computer vision | ch. 1 | ||

R 1/13 | 2. Optics and Image formation | ch 2.2 | ||

T 1/18 | 3. Depth perception | ch 2.1, 11.3,11.4 | ||

R 1/20 | 4. Stereo computation | ch 2.1, 11.3, 11.4 | HW 1 out. Matlab basics 5:30-7:00 | |

T 1/25 | 5. Linear Filters | ch 3.2, 3.4 | ||

R 1/27 | 6. Laplacian pyramid | ch 3.5, handouts | ||

T 2/1 | 7. Fourier and Wavelet Analysis | ch 3.3 | HW 1 due. HW 2 out; | |

R 2/3 | 8. Edge and line detection | ch 4.2, 4.3, 5.1.1 | ||

OBJECT AND SCENE RECOGNITION | ||||

T 2/8 | 9. Principal component analysis | Appendix A | ||

R 2/10 | 10. Feature extraction (ICA and LDA) | handouts | HW 2 due. | |

T 2/15 | 11. Bayesian Classifcation | Appendix B | HW 3 out | |

R 2/17 | 12. Wavelets and texture | ch 3.5, 10.5 | ||

T 2/22 | 13. Object detection (boosting) | ch14.1 | ||

R 2/24 | 14. Visual words and recognition | ch 4.4 | Preliminary Project Proposal | |

T 3/1 | 15. Active deformable models | ch 14.2 | ||

R 3/3 | Quiz 1 (up to Lecture 13) | Project ideas | ||

M 3/7 | Midterm Grade due 6 p.m. | |||

T 3/8 | Spring break | |||

R 3/10 | Spring break | |||

T 3/15 | 16. Motion and optical flow | ch 8.4 | HW 3 in, HW 4 out ; | |

R 3/17 | 17. Object tracking | ch 8.5 | ||

PERCEPTUAL INFERENCE | ||||

T 3/22 | 18. Lightness and color | ch 2, 3.1 | ||

R 3/24 | 19. Surface interpolation (MRF) | ch 3.7 | HW 4 due | |

T 3/29 | 20. Segmentaton methods | ch 5.4-5.5 | ||

R 3/31 | 21. Shape from shading | ch 12 | ||

T 4/5 | 22. Shape from images | ch12, handouts | ||

R 4/7 | 23. Structure from motion | ch 8.4, 8.5, ch 7 | ||

T 4/12 | 24. Context and scene recognition | ch 14.4 | Project midterm (3) | |

R 4/14 | Spring Carnival | |||

T 4/19 | 25. Dynamic inference | handouts | ||

R 4/21 | 26. Hierarchical/Interactive systems | handouts | ||

T 4/26 | Project Presentation | |||

R 4/28 | Project Presentation | All term papers and projects due (20) | ||

M 5/9 WEH 7500 | Final Exam Day: Quiz 2 & Project Presentation | |||

R 5/12 | Final Grade due 6 p.m. |

- Homework Assignment 1: Stereo computation
- Homework Assignment 2: Pyramid and Image Mosaic
- Homework Assignment 3: Texture classification
- Homework Assignment 4: Object Tracking

Last modified: May 15, 2011, Tai Sing Lee