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: https://srmeasure.com/professional
Jared's notes on the iPhone LiDAR and SLAM: https://everypoint.medium.com/everypoint-gets-hands-on-with-apples-new-lidar-sensor-44eeb38db579
How to capture images for 3D reconstruction: https://youtu.be/AQfRdr_gZ8g
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: https://twitter.com/JaredHeinly LinkedIn https://www.linkedin.com/in/jheinly/
Follow Jonathan Stephens Twitter: https://twitter.com/jonstephens85 LinkedIn: https://www.linkedin.com/in/jonathanstephens/
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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