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,
Module 3: Rotobrush
Project 3: Rotobrush
local classifiers, color confidence, shape confidence, local boundary deformation
Fall Schedule
Homework 1: Linear Least Squares
- Release Date: Sep 2,
- Deadline: Sep 11,
Project 1: Color Segmentation using GMM
- Release Date: Sep 11,
- Deadline: Sep 25,
Project 2: Panorama Stitching
- Release Date: Sep 30,
- Deadline: Oct 20,
Midterm
- Date: Oct 26,
Project 3: Rotobrush
- Release Date: Oct 27,
- Deadline: Nov 19,
Project 4: Depth and Contact Prediction
- Release Date: Nov 20,
- Deadline: Dec 21,
- 5% Extra credit for top 3 groups
Final Exam
- Date: Dec 18, 1:30 PM
Perception & Robotics Group
University of Maryland
Copyright ©