Udemy – Hands-On Computer Vision: SLAM, 3d geometry, Calib, AR, Pose

This hands-on course introduces students to  3D computer vision using monocular and stereo cameras. Through a series of real-world projects and coding exercises, learners will build a strong foundation in camera geometry, feature-based matching, pose estimation, and 3D reconstruction targeted for research and industrial application in Autonomous vehicle, robotics, machine learning, 3d geometry and reconstruction.

You will begin by understanding camera calibration and how a single camera can be used for localization and height estimation. You’ll then move on to more advanced topics like real-time 3D pose estimation, augmented reality overlays, video stabilization, and visual odometry on real datasets like KITTI.

This course is project-driven and emphasizes classical, interpretable methods giving you the tools to develop your own computer vision pipeline without requiring deep learning.

What You Will Learn:

• Camera Calibration & Projection Geometry
  • Estimate intrinsic and extrinsic parameters of monocular cameras
  • Use projection grids for object height estimation
• Object Localization & 3D Pose Estimation
  • Detect and track objects using feature matching
  • Estimate 3D object pose and overlay augmented content in real-time
• Video Stabilization & Image Stitching
  • Implement 2D video stabilization using feature tracking and homographies
  • Perform planar image stitching using BRISK and homography transformation
• Feature Detection and Matching
  • Use BRISK, ORB, and other descriptors for robust keypoint matching
  • Understand outlier rejection using RANSAC
• Epipolar Geometry & Visual Odometry
  • Compute and visualize the fundamental matrix and epipolar lines
  • Apply monocular visual odometry using optical flow and epipolar constraints
• 3D Triangulation from Stereo Views
  • Reconstruct 3D point clouds from stereo image pairs
  • Understand triangulation using projection matrices

Who this course is for:

• All level python developers

DOWNLOAD LINK: Hands-On Computer Vision: SLAM, 3d geometry, Calib, AR, Pose

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