From 2D to 3D: 4 Ways to Make a 3D Reconstruction from Imagery

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/professionalJared's notes on the iPhone LiDAR and SLAM: https://everypoint.medium.com/everypoint-gets-hands-on-with-apples-new-lidar-sensor-44eeb38db579How to capture images for 3D reconstruction: https://youtu.be/AQfRdr_gZ8g00:00 Intro01:30 3D Reconstruction from Video13:48 3D Reconstruction from Images28:05 3D Reconstruction from Stereo Pairs38:43 3D Reconstruction from SLAMFollow Jared Heinly Twitter: https://twitter.com/JaredHeinlyLinkedIn https://www.linkedin.com/in/jheinly/Follow Jonathan StephensTwitter: https://twitter.com/jonstephens85LinkedIn: 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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