maeln6 hours ago
A slight tangent but rollerblades is a case of proprietary eponym : Rollerblade is a brand of inline skates (often call skates - plural - for short) that became so famous people started to use it to describe all inline skates, no matter the brand. Just like vaccum cleaner and hoover :)
techn005 hours ago
and xerox
ioma85 hours ago
and roomba
taneq4 hours ago
Thanks, I'll hoover up these examples for later use.
voidUpdate3 hours ago
I've thought about trying to do 3d scanning with a LIDAR module, but they all seem really expensive. Does anyone have a recommendation for a spinning LIDAR module that can be interfaced with by an arduino-style device, rather than USB, that doesn't cost me an arm and a kidney?
dllu8 hours ago
I once put an Ouster OS1 on a hat and walked around with it. Pic of me here: [1]
weinzierl7 hours ago
Very cool. When was this? If you would repeat it, which LIDAR would you use? Is there anything on a generous hobby budget nowadays?
dllu5 hours ago
It was at CVPR 2019, a computer vision conference. I may be biased since I used to work at Ouster, but cost notwithstanding, I would definitely pick the OS1 again for its unparalleled number of points per second combined with low weight and decent accuracy.
mkarklins6 hours ago
On cheaper side there's MID360
amelius11 hours ago
Wouldn't this be cheaper with a stereo pair of cameras + software reconstruction instead?
SequoiaHope5 hours ago
Actually a single camera is all you need. I think it’s fair to say that the only thing stereo gets you is scale. But both cameras and lidar have their place in sensing systems, and getting more experience with either is useful.
If you’re interested in reconstruction from images check out Meshroom and Nerf Studio
taneq3 hours ago
Scale is the one thing stereo doesn't get you compared with sequential mono images, unless you have some fancy lens model that lets you derive scale from nonlinearities in the lens. Is that something we do now? I always wanted to try out monocular SLAM with a fisheye lens.
fake-name10 hours ago
That would need WAY more compute.
pj_mukh9 hours ago
Also a lot less robust depending on baseline.
fshafique13 hours ago
You should post this on /r/Photogrammetry on Reddit: https://www.reddit.com/r/photogrammetry/
[deleted]9 hours agocollapsed
condensedcrab12 hours ago
Very impressive! LiDAR and point clouds seem very promising, but the challenge of denoising point clouds and artifacts keep the skill bar very high/time intensive.
pj_mukh9 hours ago
So cool! I wonder how the Lidar and ARCore poses were cross-calibrated?
Just to avoid this, I would just use a LiDAR equipped iPhone Pro, with industrial grade cross-calibration and still have all the visualization fun.
timzaman12 hours ago
Just install polycam and walk around :)