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 [here]
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,
Module 3: Rotobrush
Project 3: Rotobrush
local classifiers, color confidence, shape confidence, local boundary deformation
Module 4: SfM or SLAM
Project 4: Structure from Motion (SfM) or Simultaneous Localization and Mapping (SLAM)


Fall 2020 Assignments
Homework 1: Linear Least Squares
  •   Release Date: Sep 2, 2020
  •   Deadline: Sep 9, 2020
Project 1: Color Segmentation using GMM
  •   Release Date: Sep 9, 2020
  •   Deadline: Sep 22, 2020
Project 2: Panorama Stitching
  •   Release Date: Sep 30, 2020
  •   Deadline: Oct 20, 2020
Take-Home Midterm
  •   Release Date: Oct 20, 2020
  •   Deadline: Oct 27, 2020
Project 3: Rotobrush
  •   Release Date: Oct 27, 2020
  •   Deadline: Nov 18, 2020
Project 4: SfM or SLAM
  •   Release Date: Nov 18, 2020
  •   Deadline: Dec 18, 2020
  • 20% Extra credit for submitting the project by 11:59:59 PM, Dec. 10




Perception & Robotics Group
University of Maryland
Copyright © 2020