Computer Vision Seminar

Fall 2000

- Select one or a few articles from conference proceedings or chapter(s) from books. Discuss your choices with one of the course coordinators. Ideally you should make your articles available for copying at least one day prior to the previous class period, so that copies can be distributed to everyone.
- Give a one hour presentation discussing the details of algorithms. The first 15 minutes should be spent on the background and introduction, and the rest of the time should be spent on technical details and methods.
- Lead a discussion on the paper presented: What was the key problem? What representation was used? What is the mathematical theory underlying the representation? How is the representation computationally derived from data? How do you represent the uncertainty in the derived representation? How stable is the representation? Are there other ways of addressing this problem? Are there faster methods? What are the strengths and weaknesses of the representation? What other improvements or tradeoffs are there?
- Submit a summary report of roughly four pages with a bibliography citing related research. The report should summarize the paper and the discussion. The document should be in Latex and the bibliography should be in Bibtex. We plan on combining these summaries at the end of the semester to form a survey of the area and a bibliography. Samples will be handed out to help you in preparing these.

- Light: Color spaces, surface reflectance models
- Camera: Spherical and parabolic cameras; etc.
- Action: Hidden Markov models (HMMs) and HMM-based representations of action; grammatical models; declarative models; Kalman filtering approaches to motion;
- Geometry: Quaternions, projective geometry, invariants
- 3D Shape: Generalized cylinders, superquadrics, surface meshes, deformable models
- 2D Shape: Moments, Fourier coefficients, skeletal representations, splines, non-uniform rational b-splines (NURBS), deformable models
- Texture: Markov random field models for texture; appearance-based representations;

- Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
- Proceedings of the IEEE International Conference on Computer Vision
- Proceedings of the DARPA Image Understanding Workshop
- Proceedings of the IEEE International Conference on Image Processing
- Proceedings of the IAPR International Conference on Pattern Recognition

Name | Office | Phone | |
---|---|---|---|

Rama Chellappa | AVW 2365 | 301-405-3656 | rama@cfar.umd.edu |

Tapas Kanungo | AVW 3453 | 301-405-0125 | kanungo@cfar.umd.edu |

Azriel Rosenfeld | AVW 4411 | 301-405-4526 | ar@cfar.umd.edu |

Day | Time | Room |
---|---|---|

Tuesday | 3:30- 5:30 | AVW 4424 |