Scanning and processing 360 videos to 3DGS models
This is an AI-generated summary of “Scanning and processing 360 videos to 3DGS models” — a 14 min YouTube video by Olli Huttunen, published July 17, 2025. It condenses the full transcript into 9 key takeaways with clickable timestamps.
Summary
Ollie demonstrates his custom "magic wand" 3D scanner, detailing the camera settings, a unique Blender-based image extraction process, and the post-processing workflow for generating high-quality Gaussian splatting models from 360 camera footage.
Key Points
- The video showcases a custom "magic wand" 3D scanner setup utilizing three Insta360 X5 cameras for capturing environments.
- Optimal camera settings for the Insta360 X5 include 8K 30fps video recording with adaptive tone, as higher resolution interval or time-lapse modes introduce processing complexities.
- The post-processing workflow begins with importing raw video files into Insta360 Studio for conversion to full 360 equirectangular format.
- A custom Blender add-on is then used to extract specific camera views, creating 18 angles from three different heights, with adjustments to avoid the operator and ensure comprehensive coverage.
- For image alignment and Structure from Motion (SFM), the creator compares Postshot and Reality Scan software.
- Postshot is generally preferred for aligning images extracted from 360 videos, especially for outdoor scans, as it more accurately solves pinhole camera images despite lengthy processing times.
- Reality Scan can be a faster and effective option for indoor scans that feature more distinct geometric shapes.
- The demonstrated "magic wand" setup successfully converts 360 camera captures into valid 3D data and stunning radiance fields, proving its effectiveness for Gaussian splatting models.
- The creator plans to finish coding and fine-tune his Blender plugin to make this 360 scanning process more accessible to others.
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