CMSC426 Computer Vision

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

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

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)

Part I: The Traditional Approach
pinhole model, epipolar geometry, triangulation, PnP, bundle adjustment

Fall 2022 Assignments

Midterm