3D Reconstruction Courses and Certifications

Andreas Geiger

Learning 3D Reconstruction in Function Space

Explore neural implicit 3D representations for geometry and texture reconstruction, discussing their advantages, limitations, and applications in computer vision and graphics.

• YouTube
• 26 minutes
• On-Demand
• Free Online Course

Andreas Geiger

Implicit Neural Representations: From Objects to 3D Scenes

Explore advanced 3D reconstruction techniques using neural representations, from single objects to large-scale scenes. Learn about convolutional occupancy networks, object appearance modeling, and material estimation.

• YouTube
• 26 minutes
• On-Demand
• Free Online Course

Andreas Geiger

Learning 3D Reconstruction in Function Space - Long Version

Explore neural implicit 3D representations for geometry, texture, and motion reconstruction. Learn innovative techniques for modeling complex 3D shapes using continuous function spaces and 2D supervision.

• YouTube
• 43 minutes
• On-Demand
• Free Online Course

Andreas Geiger

Learning 3D Reconstruction in Function Space

Explore neural implicit models for 3D reconstruction, covering occupancy networks, texture fields, and differentiable rendering. Gain insights into cutting-edge techniques and recent advancements in the field.

• YouTube
• 50 minutes
• On-Demand
• Free Online Course

Andreas Geiger

Constraining 3D Fields for Reconstruction and View Synthesis

Explore advanced techniques in 3D field reconstruction and view synthesis, covering RegNeRF, MonoSDF, and TensoRF for improved neural rendering and geometric representation in computer vision.

• YouTube
• 27 minutes
• On-Demand
• Free Online Course

Microcredential

First Principles of Computer Vision

1 review

Comprehensive exploration of computer vision foundations, covering imaging, feature detection, 3D reconstruction, and visual perception. Ideal for beginners seeking to build a career in this growing field.

• Coursera
• 30 weeks, 2 hours a week
• On-Demand
• Paid Course
• 5 courses

3D Reconstruction - Multiple Viewpoints

38 ratings at Coursera

Explore 3D scene reconstruction from multiple viewpoints, covering camera calibration, stereo vision, optical flow, and structure from motion for applications in robotics, VR, and AR.

• Coursera
• 3 days 22 minutes
• On-Demand
• Free Online Course (Audit)

3D Reconstruction - Single Viewpoint

31 ratings at Coursera

Explore 3D scene reconstruction from a fixed viewpoint using techniques like shape from shading, photometric stereo, depth from defocus, and active illumination for various applications.

• Coursera
• 3 days 17 hours 2 minutes
• On-Demand
• Free Online Course (Audit)

Introduction to Computer Vision

Explore essential algorithms and methods for computer vision, from traditional image analysis to modern deep learning techniques. Learn about AI-generated images and their ethical implications.

• Coursera
• 20 hours 1 minute
• On-Demand
• Free Online Course (Audit)

Technical University of Denmark (DTU)

Introduction to advanced tomography

59 ratings at Coursera

Hands-on experience with high-resolution tomography analysis, covering data acquisition, 3D reconstruction, segmentation, meshing, and modeling to extract physical parameters. Includes practical exercises using Python.

• Coursera
• 1 day 6 hours 14 minutes
• On-Demand
• Free Online Course (Audit)

Minimally Invasive Surgery for Superior Semicircular Canal Dehiscence - Isaac Yang, MD - UCLAMDChat

Neurosurgeon explains minimally invasive keyhole craniotomy for Superior Semicircular Canal Dehiscence, showcasing surgical techniques, modern technology, and patient-specific approaches.

• YouTube
• 37 minutes
• On-Demand
• Free Online Course

Extreme View Synthesis: Novel Techniques and Challenges

Explore advanced techniques for synthesizing novel views from limited input images, covering multiplane images, patch matching, and depth probability estimation.

• YouTube
• 28 minutes
• On-Demand
• Free Online Course

Structure from Motion - Lecture 15

Learn about Shape from X, 3D recovery and applications, Kinect technology, Moving Light Display, and Structure for Motion in computer vision. Explore key concepts and results in this comprehensive lecture.

• YouTube
• 54 minutes
• On-Demand
• Free Online Course

Stereo Vision and Depth Perception in Computer Vision - Lecture 16

Explore stereo vision techniques, including shape reconstruction, rectification, correspondence, and correlation methods for depth perception in computer vision applications.

• YouTube
• 33 minutes
• On-Demand
• Free Online Course

Fundamental Matrix and Stereo Vision - Lecture 13

Explore fundamental matrices, stereo photosynthesis, and random sampling consensus in image processing and computer vision applications.

• YouTube
• 1 hour 32 minutes
• On-Demand
• Free Online Course