3D Computer Vision | Lecture 5 (Part 1): Camera models and calibration скачать в хорошем качестве

3D Computer Vision | Lecture 5 (Part 1): Camera models and calibration

Here's the video lectures of CS4277/CS5477 3D Computer Vision taught at the Department of Computer Science, National University of Singapore (NUS). This is an introductory course on 3D Computer Vision which was recorded for online learning at NUS due to COVID-19. The topics covered include: Lecture 1: 2D and 1D projective geometry Lecture 2: Rigid body motion and 3D projective geometry Lecture 3: Circular points and Absolute conic Lecture 4: Robust homography estimation Lecture 5: Camera models and calibration Lecture 6: Single view metrology Lecture 7: The fundamental and essential matrices Lecture 8: Absolute pose estimation from points or lines Lecture 9: Three-view geometry from points and/or lines Lecture 10: Structure-from-Motion (SfM) and bundle adjustment Lecture 11: Two-view and multi-view stereo Lecture 12: Generalized cameras Lecture 13: Auto-Calibration Lecturer: Gim Hee Lee (https://www.comp.nus.edu.sg/~leegh/) Disclaimer: This video lecture is provided freely for your reference. The lecturer and NUS are not responsible for anything expressed herein.