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In this episode of Computer Vision Decoded, we are going to dive into image capture best practices for 3D reconstruction.
Show Notes
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
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
Creators & Guests
What is Computer Vision Decoded?
A tidal wave of computer vision innovation is quickly having an impact on everyone's lives, but not everyone has the time to sit down and read through a bunch of news articles and learn what it means for them. In Computer Vision Decoded, we sit down with Jared Heinly, the Chief Scientist at EveryPoint, to discuss topics in today’s quickly evolving world of computer vision and decode what they mean for you. If you want to be sure you understand everything happening in the world of computer vision, don't miss an episode!