URCV

Solving large-scale industry challenges by digitizing the physical world, captured by data-rich images

[Jared Heinly @JaredHeinly]

Long lines this morning to pick up badges at #CVPR2022. Note to self: this conference isn't getting any smaller. There are lots of people interested in computer vision!

[Jared Heinly @JaredHeinly]

What do Apple’s latest ARKit announcements mean for computer vision? Check out @EveryPointIO's first episode of Computer Vision Decoded where @jonstephens85 and I break down some of the key advancements.
https://t.co/YxZRJ6bw86

[saas.group @SaaS_group]

We are pleased to announce the acquisition of @PipelineDeals, the provider of a widely used CRM among SMBs in the US (even ahead of Salesforce, acc. to G2!). We are excited to build the go-to CRM provider for SMBs in the US and globally! 🚀🚀🚀

https://t.co/U2PRU61NHf #crm

[URCV @URCVentures]

URC Ventures is now EveryPoint. This twitter account will be taken down on Feb 1. Be sure to follow @EveryPointIO to keep up with our adventures.

[Jonathan Stephens @jonstephens85]

Excited to see what @AlexDelker scans with the @EveryPointIO app! He’s a #1scanaday legend!

[Jonathan Stephens @jonstephens85]

A great #3d scan from @view0608 - one photo is a #pointcloud from an @EveryPointIO scan...the output is 4.3 cm voxel size. The other photo is his walking path around the scene and the stills used. I'm running it on our cloud at 1 cm to see what details we see. Great work Tomo!

[Hakko @Hakko86072342]

@jonstephens85 @EveryPointIO Thanks for the great app!
Beautiful textures are fun to look at, but I think high quality point clouds are even more important.
I'll keep using everypoint!

[EveryPoint @EveryPointIO]

Snow and ice may have marooned many of us up in the Pacific Northwest. That didn't stop us from going out and scanning in the snow! Here is a beautiful house scan we performed using the upcoming #LiDAR+Video Fusion on the app. Check it out on @Sketchfab: https://t.co/OaChOiJAsV

[BLENDER SUSHI 🫶 X - 24/7 Blenderian @jimmygunawanapp]

#everypoint #pointcloud Testing fusion tech but it's a bit late after sunset

[BLENDER SUSHI 🫶 X - 24/7 Blenderian @jimmygunawanapp]

#EveryPoint #Lidar #FusionLidar This works like magic it can sort of paint dots from far away distance on top of Lidar points.

[Jared Heinly @JaredHeinly]

I think wireframe scanning with the live camera turned off is my favorite scanning mode. It just looks so cool! Captured using an iPhone 12 Pro + EveryPoint app.
https://t.co/RtnovoS1V3

[Jared Heinly @JaredHeinly]

While I get to work on cutting-edge spatial computing for https://t.co/FbDW5YfTQp, our processing engine also powers practical enterprise applications like Stockpile Reports. There's lots of fun ways to provide intelligence and automation via computer vision and deep learning.

[Jared Heinly @JaredHeinly]

Stockpile Reports is hiring a front-end web developer. If you're interested in building elegant and meaningful solutions to enable our customers to have insight into any stockpile of material at any time, check out the job description here: https://t.co/de5vhvHSAA

[Jared Heinly @JaredHeinly]

Great talk by Pierre Moulon on the very useful OpenMVG package (an open-source image-based 3D reconstruction library). I love the credo, "Keep it simple, keep it maintainable." #CVPR2020
https://t.co/m0Mji4o93l

[Jared Heinly @JaredHeinly]

Excited to show off another demo of our real-time reconstruction capability for the iPhone! After spending a bunch of time developing and testing the app, it's really fun to see people's reactions to this new technology. It's going to be a game changer!
https://t.co/dyaCfeBdPH

[Jared Heinly @JaredHeinly]

As another exciting test, I used the iPad Pro's LiDAR sensor to scan a house. The results are really cool! Of course there are artifacts, but it's fun to look at! With the sensor's limited range, I couldn't scan above the 2nd floor. Link to the 3D model: https://t.co/HXc7xmBj3z

[Jared Heinly @JaredHeinly]

At the moment, photogrammetry would be a better option to reconstruct outdoor scenes at a wide range of scales. For instance, here's a small pine cone that I modeled a while ago using an iPhone video: https://t.co/4zM9nL4mlB

[Jared Heinly @JaredHeinly]

Here's a link to the Sketchfab model from the scan: https://t.co/eiRdkC7OOS

[Jared Heinly @JaredHeinly]

As another test of the new iPad Pro's LiDAR sensor, I wanted to see how well it would do on fine structures. I got close to some tree roots, but there appears to be a minimum voxel size that ARKit uses behind the scenes (as well as smoothing) as the results were not impressive.

[Jared Heinly @JaredHeinly]

Excited to test out the new iPad Pro and see how its LiDAR sensor performs!