CS 766 - Computer Vision Fall 2006

CS 766 Lecture-Related Materials

• Marr paradigm slides 2-up pdf
• Image Formation
  • Image formation slides 2-up pdf
  • R. Cipolla's and A. Gee's notes on projection 2-up pdf | 2-up ps (formatted for A4 paper, so be sure to resize before printing) (Cambridge University)
  • Additional slides on perspective projection and other types of projection 2-up pdf | 4-up pdf
  • Supplementary (optional) sources on projection:
    • Projective Geometry for Computer Vision by S. Banerjee, IIT Delhi
    • Geometric Framework for Vision I: Single-View and Two-View Geometry by A. Zisserman (CVonline)
    • Camera Calibration Course Notes by R. Owens, University of Western Australia
    • Homogeneous Coordinates by J. Bloomenthal and J. Rokne, University of Calgary
• Segmentation
  • 2D binary image processing and segmentation slides 2-up pdf | 4-up pdf
  • Normalized cut algorithm for image segmentation slides 2-up pdf | 4-up pdf
  • Active contours (snakes) slides 2-up pdf
  • Supplementary: Active Contour Models - Snakes by M. Sonka, V. Hlavac and R. Boyle
  • Level sets slides 2-up pdf | 4-up pdf | powerpoint file
  • Supplementary: A Fast Introduction to Fast Marching Methods and Level Set Methods by J.A. Sethian, including the two linked pages, on Fast Marching methods and Level Set methods; see also 2D and 3D image segmentation examples
• Feature Detection and Matching
  • Edge detection slides (adapted from slides by L. Davis, University of Maryland) 2-up pdf | 4-up pdf
  • Supplementary: R. Cipolla's and A. Gee's notes on edge detection 2-up pdf | 2-up ps (formatted for A4 paper, so be sure to resize before printing) (Cambridge University)
  • D. Huttenlocher's notes on edge detection pdf (Cornell University)
  • Feature detection and matching slides 2-up pdf | 4-up pdf
  • Supplemenary: Hough transform (University of Sussex)
• Image-based Rendering
  • Image-based rendering slides 2-up pdf | 4-up pdf (contains slides on resampling a homography)
  • Light field rendering slides (Stanford University)
• Stereo
  • Stereo slides 2-up pdf | 4-up pdf (updated 10/31/06)
  • A. Gee and R. Cipolla's notes on stereo (Cambridge University)
  • Comparison of stereo algorithms (Middlebury College)
  • Stereo (University of Sussex)
  • Tutorial and code for stereo rectification
  • Epipolar geometry and the fundamental matrix (CVonline)
  • Learning epipolar geometry (INRIA)
  • Description of Zitnick and Kanade's stereo algorithm
  • Voxel coloring slides 2-up pdf | 4-up pdf
• Motion
  • Motion slides 2-up pdf | 4-up pdf
  • Motion (University of Sussex)
  • Layers slides 2-up pdf | 4-up pdf
  • Condensation algorithm slides 2-up pdf | 4-up pdf
• Object recognition slides
  • Geometry-based object recognition slides 2-up pdf | 4-up pdf
  • Appearance-based object recognition slides 2-up pdf | 4-up pdf
  • Learning object category slides 2-up pdf | 4-up pdf
• Texture and contour slides 2-up pdf | 4-up pdf