In this episode of Computer Vision Decoded, we are going to dive into 4 different ways to 3D reconstruct a scene with images. Our cohost Jared Heinly, a PhD in the computer science specializing in 3D reconstruction from images, will dive into the 4 distinct strategies and discuss the pros and cons of each.

Links to content shared in this episode:

Live SLAM to measure a stockpile with SR Measure: [ Ссылка ]

Jared's notes on the iPhone LiDAR and SLAM: [ Ссылка ]

00:00 Intro
01:30 3D Reconstruction from Video
13:48 3D Reconstruction from Images
28:05 3D Reconstruction from Stereo Pairs
38:43 3D Reconstruction from SLAM

Follow Jared Heinly
Twitter: [ Ссылка ]
LinkedIn [ Ссылка ]

Follow Jonathan Stephens
Twitter: [ Ссылка ]
LinkedIn: [ Ссылка ]

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: [ Ссылка ]

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