How to Capture Images for 3D Reconstruction

Computer Vision Decoded

Jonathan Stephens에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Jonathan Stephens 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

2y ago 1:23:29

MP3•에피소드 홈

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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