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CS763 Computer Vision IIT-B Spring 2015

orthographd - Posted on May 20, 2015 at 2:12 pm. Updated on May 20, 2015 at 2:12 pm.

  • Links: http://www.cse.iitb.ac.in/~ajitvr/CS763_Spring2015/
  • Details:
  • Topics to be covered (tentative list)

    • Camera geometry, camera calibration, vanishing points
    • Computational tools for creating Image Panoramas: homographies, RANSAC for point-matching, SIFT (scale invariant feature transform) for detection of salient feature points
    • Algorithms for - shape from shading, depth from needle map; optical flow, Kanade-Lucas-Tomasi algorithm, applications of optical flow in underwater imagery; shape from stereo, epipolar geometry; structure from motion;
    • Photometric stereo - deriving shape from multiple images of an object taken under different lighting conditions; applications to illumination invariant face recognition, face relighting
    • Machine Learning in computer vision: Face detection using Adaboost, Object detection using parts
    • Compressive sensing: summary of key theorems and results, proof of one or two key theorems, applications of compressive sensing, algorithms for compressive sensing reconstruction
    • Some of the above topics will make use of concepts from signal processing (Fourier transform, convolution) and linear algebra (principal components analysis (PCA) and singular value decomposition (SVD))

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