CSE 527

STONY BROOK UNIVERSITY

DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING

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 Stony Brook University (SUNY):    Computer Vision - CSE 527
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CSE 527: INTRODUCTION TO COMPUTER VISION

Syllabus -- Spring 2009

Legend:
• FP - Forsyth and Ponce's book
• H   - Horn's book
• TV - Trucco and Verri's book

•  # Date Description Readings Assignments 1 1/28 Course Introduction (slides) 2 1/30 Linear Algebra Review and Matlab Tutorial (slides) Optional:Eero Simoncelli "A Geometric View of Linear Algebra" Michael Jordan slightly more in depth linear algebra review Jim Hefferon online Introductory Linear Algebra Book 3 2/5 Image formation, Lenses and Cameras (slides) Req: FP 1Opt: H 2.1, 2.3 PS #1 - Assigned 4 2/5 Color and Image Statistics(slides) FP 6.3   Michael J. Jones, James Rehg, "Statistical color models with application to skin detection", International Journal of Computer Vision, 1999  "A Survey on Pixel-Based Skin Color Detection Techniques" Vladimir Vezhnevets, Vassili Sazonov, Alla Andreeva 5 2/10 Statistical linear models: PCA (Eigenfaces) (slides) Turk, M. & Pentland, A. (1991). "Eigenfaces for recognition" Journal of Cognitive Neuroscience, 3, 71-86.   FP pgs. 505-512 PS #1 - Due 6 2/12 Statistical Linear Models: ICA and FLD (slides) Handout: Moghaddam ;                   ICA Tutorial;                   Belhumer etal. Opt: FP 22 7 2/17 Statistical Multilinear Models: TensorFaces / Multilinear PCA: - slides I                                                        - code and data ;  Opt: FP 22 PS #2 - Assigned 8 2/19 Statistical Multilinear Models: (slides)Multilinear (Tensor) ICA, Multilinear Projection Handouts: Multilinear (Tensor) ICA: - Vasilescu and Terzopoulos; Multilinear Projection - Vasilescu and Terzopoulos 9 2/24 Multilinear Projection (continued) 10 2/26 Image Filtering, Edge Detection (slides) FP 7 & 8 11 3/3 Fourier Transforms & Image Representations: Pyramids (slides) FP 9.2 12 3/5 Feature Extraction: Corners & Blobs 13 3/10 Physically-Based Models: Mass-Spring Systems 14 3/12 Active Contours (snakes) PS #2 - Due 15 3/17 Active Shape Models PS #3 - Assigned 16 3/19 Active Appearance Models 17 3/24 Tracking: Kalman Filters 18 3/26 Tracking: Particle Filters, Tracking Humans 19 3/31 Mean Shift Algorithm 20 4/2 Project Proposal Presentations Proposals – Due 2 pg. description 3-5 slides 4/6-11 SPRING BREAK 21 4/14 Camera Calibration, Epipolar Geometry 22 4/16 Stereo 23 4/21 Optical Flow, Structure from Motion 24 4/23 Shape from Shading 25 4/28 Surface Reconstruction 26 4/30 27 5/5 Project Show and Tell Projects DueSubmit 10-15 Slides