Gaussian Splatting vs Photogrammetry

FREE Sample Data Download: https://www.hammermissions.com/sample-drone-data Gaussian Splatting is changing the way we create 3D models from drone data. In this video, we'll make a direct comparison between Gaussian Splatting and traditional photogrammetry using real-world drone imagery. You’ll learn how to: • Capture imagery optimized for each 3D reconstruction method • Process data into precise, usable 3D models • Evaluate model detail, completeness, and workflow efficiency • Decide when Gaussian Splatting offers advantages over photogrammetry • Apply the right approach for inspections, surveys, or design projects By the end, you’ll know which method best suits your project’s requirements. 👉 Subscribe to Hammer Missions for more deep-dive videos on drone data, photogrammetry, AI, CAD, and BIM workflows. -------------------------------------------------------------------------- Chapters: 0:00 Introduction to 3D Gaussian Splatting 0:31 Why it matters in drones and reality mapping 1:19 What is 3D Gaussian Splatting? 2:22 How Gaussian splatting works 3:41 Comparison with photogrammetry 5:04 Mesh vs fancy point cloud 6:00 Advantages 6:24 Measurement accuracy vs realism 7:11 When to use Gaussian splatting vs photogrammetry/LiDAR 8:29 Software options and implementation 9:38 Free dataset 10:43 The future of 3D mapping and AI integration 11:14 Closing thoughts -------------------------------------------------------------------------- About Us: Hammer Missions is an AI software platform for drone professionals and Enterprise UAS programmes to collect & process high-quality 3D drone data for aerial surveys & inspections and AI inspection reports. To learn more, visit: 👉 👉 👉 https://www.hammermissions.com -------------------------------------------------------------------------- Follow Us: - LinkedIn: https://www.linkedin.com/company/hammer-missions 🔗 Links - https://www.youtube.com/watch?v=QoZ8L2sQ4yY - https://www.youtube.com/watch?v=rlNNMJHlpi8 - https://www.youtube.com/watch?v=gEFPu-Q2-Vc