3D Vision Course Repository 2022 Spring

Topics covered in this course includes:

• Estimation of Homography
• Local Invariant Features
• Camera Calibration
• Structure from Motion
• P3P Pose Estimation, EPnP, Ransac
• Essential, Fundamental Matrix
• Stereo Pair & Rectification,
• Triangulation and Stereo Processing,
• Traditional Stereo Matching
• Multiple View Stereo
• Deep Learning Stereo Matching
• ORB-SLAM, Bundle Adjustment
• SfM Learner
• Optical Flow
• View synthesis and Shape generation
• Deep Learning for 3D Point Cloud
• Deep Visual SLAM and Deep 3D
• Multiview 3D Human Tracking
• Multiview Artistic Style Synthesis

Homeworks:

Topics covered in homeworks includes the following:

• Homework 1:
  • Homography Estimation
  • Document Rectification
• Homework 2:
  • 2D-3D Matching
  • Augmented Reality
• Homework 3:
  • Visual Odometry

Details of each homework could be found on their respective folders.