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  CSS 587 - Advanced Topics in Computer Vision - Lecture materials


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Slides will be posted here (usually) prior to lecture:
  • Lecture 1 - Digital images
  • Lecture 2 - Programming in OpenCV
      See also this tutorial (off-site link): OpenCV Tutorial (Gary Bradski)
      Here is the code from Lecture 2.
  • Lecture 3a - Linear Filtering and Convolution
  • Lecture 3b - Edge Detection
  • Here is the code from Lecture 4.
  • Lecture 5 - Hough transform and RANSAC
  • Lecture 6 - Motion Analysis
  • For lecture 7, I will be using slides developed elsewhere (and here):
    SIFT features (work by David Lowe, slides by David Lee)
    SURF features (work by Bay, Tuytelaars, Van Gool, slides by Wyman)
    HoNC features (work by Olson and Zhang)
     For further reading, see:
    Distinctive Image Features from Scale-Invariant Keypoints (pdf)
    Speeded-Up Robust Features (SURF) (pdf)
    Keypoint Recognition with Histograms of Normalized Colors (pdf)
  • Lecture 8 - Panorama Recognition and Photosynth
     You can download slides on Panorama Recognition here.
     You can download slides on PhotoTourism here.
  • Lecture 9 - Object Recognition
  •  See also these slides from an image classification tutorial.
  • Lecture 10a - Color and Texture
  • Lecture 10b - Segmentation
  • Lecture 11 - Stereo Vision
  • Lecture 12 - Content-based image retrieval
  • Lecture 13 - Mars exploration

    Here are the links from class.