You can download the lectures here. I will try to upload lectures following to their corresponding classes.

  • Course Introduction
    tl;dr: “What is Computer Vision, its Applications, and Course Logistics”
    [pdf]

    Suggested Readings:

  • Linear Image filtering
    tl;dr: “LSIS systems, 1D-2D Convolution and Linear image filters”
    [pdf]

    Suggested Readings:

  • Non-Linear Image Filtering
    tl;dr: “Non-Linear image filtering and Template matching by Correlation”
    [pdf]

    Suggested Readings:

  • Fourier Transform
    tl;dr: “The Convolution Theorem, Image Filtering in the Frequency domain, and Hybrid images”
    [pdf]

    Suggested Readings:

  • Motion Blur and Deconvolution
    tl;dr: Motion Blur and Wiener Deconvolution
    [pdf]

    Suggested Readings:

  • Edge Detection
    tl;dr: “Edge Detection, Sobel Filter, and the Canny Edge Detector”
    [pdf]

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  • Corner Detection
    tl;dr: Corner Detection, The Harris Algorithm, and Non Maximal Suppression
    [pdf]

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  • Boundary Detection
    tl;dr: Fitting lines and Curves to Edges, Active Contours, and The Snake Model
    [pdf]

    Suggested Readings: