These notes accompany the University of Maryland CS class CMSC426: Computer Vision (Section 0101) by Prof. Yiannis Aloimonos. The logistics for the course are available here. You can find the class lectures on this drive.
Module 0: Preparation
Module 1: Color Segmentation using GMM
Project 1: Color Segmentation using GMM
color segmentation, bayer filter, image acquisition, color-space
Module 2: Panaroma Stitching
Project 2: Stitching multiple images seemlessly to create a panorama
  • Part I: Learning the basics
    convolution, filtering, features, edges, corners, SIFT, camera model, pinhole model, calibration, projective geometry, homography
  • Part II: Panorama Stitching
    ANMS, feature descriptor, feature correspondence, homography, ransac, cylinderical projection, blending images,
Fall Schedule
Homework 1: Linear Least Squares
  •   Release Date: Sep 3,
  •   Deadline: Sep 10,
Project 1: Color Segmentation using GMM
  •   Release Date: Sep 11,
  •   Deadline: Sep 26,
Project 2: Panorama Stitching
  •   Release Date: Oct 1,
  •   Deadline: Oct 17,
Homework 2: Projective Geometry
  •   Release Date: Oct 18,
  •   Deadline: Oct 24,
Midterm
  •   Date: Nov 7,
Project 3: From Pixels to 3D Worlds : Two-View 3D Reconstruction
  •   Release Date: Nov 8,
  •   Deadline: Nov 22,
Homework 3: Two View Geometry
  •   Release Date: Nov 22,
  •   Deadline: Nov 29,
Project 4: Depth Prediction
  •   Release Date: Nov 29,
  •   Deadline: Dec 18,
  • 5% Extra credit for top 3 groups




Perception & Robotics Group
University of Maryland
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