Date | Lecture Topic | Reading | Assignments |
---|---|---|---|

T 1/11 | 1. Introduction and Overview | ||

Image Processing | |||

R 1/13 | 2. Image filtering | ||

T 1/18 | 3. Feature Extraction | HW 1 out | |

R 1/20 | 4. Multi-scale analysis | ||

Object recognition | |||

T 1/25 | 5. Pattern classification | ||

R 1/27 | 6. Pattern description | ||

T 2/1 | 7. Bayes decision | HW 1 due, HW 2 out | |

R 2/3 | 8. Boosted cascade | ||

Physics of vision | |||

T 2/8 | 9. Imaging basics | ||

R 2/10 | 10. Imaging basics II | ||

T 2/15 | 11. Stereo and depth | ||

R 2/17 | 12. Shape from shading | HW 2 due, HW 3 out | |

Contour and Shape models | |||

T 2/22 | 13. Edges and contour | ||

R 2/24 | 14. Principal component analysis | ||

T 3/1 | 15. Shape models | ||

R 3/3 | 16. Mid-term examination | HW 3 due , HW 4 out. | |

M 3/7 | Midterm grade due | . | . |

R 3/8,10 | Spring Break | . | . |

Segmentation and Grouping | |||

T 3/15 | 17. Blind source separation | ||

R 3/17 | 18. Markov random field | . | |

T 3/22 | 19. Graph-cut | . | |

R 3/24 | 20. Hough and EM | HW4 due HW 5 out | |

Matching and Tracking | |||

T 3/29 | 21. Deformable matching | ||

T 3/31 | 22. Optical flow | ||

R 4/5 | 23. Tracking | ||

Biological visual system | |||

R 4/7 | 24. Early visual modules | HW 5 due | |

T 4/12 | 25. Cortical hierarchy | ||

R 4/14 | No class Spring Carnival | ||

T 4/19 | 26. Contextual processing | FCE | |

R 4/21 | 27. Active vision | FCE | |

Student Presentations | |||

T 4/26 | 28. Project Presentation | ||

R 4/28 | 29. Project Presentation | ||

S 4/30 | 30. Project Presentation | ||

M. 5/2: | Project due (paper, codes) | ||

5/10 | 31. Final Examination | 8:30-11:30 a.m. | |

R 5/12 | Final Grade due. |

Class location and time: | Wean 5403. Tuesday, Thursday 3:00 p.m - 4:20 p.m. | |
---|---|---|

Recitation: | (optional) Matlab tutorials: place and time TBA. | |

Website: course info: | http://www.cs.cmu.edu/afs/andrew/scs/cs/15-385/www | |

Course directory: homework submission: | /afs/andrew.cmu.edu/scs/cs/15-385/students05/your_directory | |

Course Blackboard: Lecture nots/Handouts/solutions: | https://blackboard.andrew.cmu.edu/ | |

Required Readings: | Lecture notes and handouts. No required textbook. | |

Reference Textbooks (on reserve): | Forsyth, D. & Ponce, J. Computer Vision:
a modern approach, Prentic Hall, 2002 (F)
Jain, R, Kasturi, R. & Schunck, B.G. Machine Vision , Wiley, 1995. (M)
Marr, D. Vision, Freeman, 1982. (M)
Palmer, S.E. Vision Science: Photons to Phenomenology. MIT Press.
Cambridge, MA. 1999 (P)
Horn, B. Robot Vision, McGraw Hill, 1986 (H)
Duda, R., Hart, P.E., & Stork, D.G. Pattern Classification , 2001. (D)
Gonzalez, R. and Woods, R. Digital Image Processing, Addison-Wesley,1993. |

Assignments | % of Grade (15385) | % of Grade (15685) | Topic |
---|---|---|---|

HW 1 | 12.5 | 10 | Matching |

HW 2 | 12.5 | 10 | Recognition |

HW 3 | 12.5 | 10 | Inference |

HW 4 | 12.5 | 10 | Modeling |

HW 5 | 12.5 | 10 | Segmentation |

Term Project | 30 | 30 | Proposal/Paper/Presentation |

Examinations | 20 | 20 | Midterm/Final |

Grading scheme:

88-100: A

75-87.9: B

60-74.9: C

0-60: F