In this episode of Computer Vision Decoded, we are going to dive into image capture best practices for 3D reconstruction.
At the end of this livestream, you will have learned the basics for capturing scenes and objects. We will also provide a downloadable visual guide for reference on your next 3D reconstruction project.
Download the official guide here to follow along: https://tinyurl.com/4n2wspkn
00:00 Intro 04:40 Camera motion overview 07:15 Good camera motions 18:43 Transition camera motions 30:39 Bad camera motions 39:27 How to combine camera motions 49:16 Loop Closure 57:42 Image Overlap 1:14:00 Lighting and camera gear
Watch out episode of Computer Vision in the Wild to learn more about capturing images outside and in busy locations: https://youtu.be/FwVBR6KFjPI
Follow Jared Heinly on Twitter: https://twitter.com/JaredHeinly Follow Jonathan Stephens on Twitter at: https://twitter.com/jonstephens85
This episode is brought to you by EveryPoint. Learn more about how EveryPoint is building an infinitely scalable data collection and processing platform for the next generation of spatial computing applications and services: https://www.everypoint.io
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