EveryPoint
@everypointio
Extract intelligence from imagery. Generate amazingly clean point clouds from imagery collected via iPhones, drones, or any other image source. #photogrammetry
ID: 1133426716955643904
http://www.everypoint.io/ 28-05-2019 17:36:02
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I love making code go fast! Instead of waiting for data to upload to the cloud, now you can measure stockpile volumes on your iPhone. The app is 3X faster, which took creativity, novel algorithms, and low-level optimization. I'm proud of what we're building at EveryPoint!
Are you in Durham, NC or the greater research triangle? Come meet out Chief Scientist, Jared Heinly, at our upcoming Computer Vision Decoded meetup. #computervision
While at the Wynn Las Vegas last week, I scanned a McLaren Automotive Elva using the pointprecise app powered by EveryPoint's Video+LiDAR Fusion. The car was roped off so I couldn't get close to it. Still an awesome result! Camera: iPhone 14 Pro Output Density: 1mm Scan Range: 3m
Download the pointprecise App to get a high-dense 3D #pointcloud for free. Check out the interesting result of this scan! App Store: apps.apple.com/us/app/point-p… Web: point-precise.com #3dscan #realitycapture #laserscan #landsurveying #scantobim #lidar #photogrammetry #tech
🔥 A new episode of Computer Vision Decoded📷 Jared Heinly and Jonathan Stephens joined our special guest, Yizhak Ben-Shabat (Itzik), to talk about implicit neural representations! Listen or watch the episode on your favorite player here: share.transistor.fm/s/ee045682 #Computervision #neuralnetworks
If you're trying to understand Structure from Motion, our latest Computer Vision Decoded episode is a great place to start. Jared Heinly and Jonathan Stephens walk through key concepts using COLMAP, so you can follow along with your own data. Watch/Listen: share.transistor.fm/s/606d8d4b
What’s the best camera for your 3D reconstruction project? In tomorrow’s episode of Computer Vision Decoded, Jared Heinly & Jonathan Stephens break down cameras for photogrammetry, SLAM, Gaussian splatting & more. Link drops tomorrow. Don’t miss it! #ComputerVision #3D
In our latest episode of Computer Vision Decoded, we sat down with one of the leading researchers in 3D Gaussian Splatting, Ruilong Li. From fundamentals to hands-on implementation with open source tools - this is your complete 3DGS primer. Episode drops soon! #ComputerVision
You don’t need a point cloud to generate a 3D Gaussian Splatting scene 🤯 We sat down with Ruilong Li, creator of gsplat—to break down how they works. 🎥 Watch: youtu.be/ycWScmc-Ls8 🎧 Listen: share.transistor.fm/s/48d798f2 #3D #ComputerVision
We’re bringing Computer Vision Decoded to Pittsburgh! Join us June 25 for an evening of 3D, CV, AI, and good conversation. 💡 Short talk by Jared Heinly 📷 Networking with the local CV community RSVP: lu.ma/ywv28hbm #computervision #3D #AI #robotics #Pittsburgh