80k megapixel panorama photograph of New York City (2021)

Anywhere to download the original image? Be a cool wallpaper :)

How many pixels a stitched panorama has is not as clear cut I guess. Just because you stitch a panorama at a certain size does not mean that you actually have information for that much resolution - and it's hard to say what size you should stitch at since, for any notrivial panorama, how many source pixels contribute to an area in the output will vary greatly depending on where on the panorama you are looking at due to the nonlinear transforms involved. E.g. stiching an equirectangular projection from ~rectilinear source images will give you much more resolution at the center line compared to the top/bottom, which are just one point stretched across the whole width (for a panorama covering the whole 180 vertical angles).

Then there is also the question of what the source resoltion actually is - most commonly the quoted resolution of a camera (i.e. the "Megapixels" on the maketing material) is usually the number of sensor "pixels" but each of those is only a single color so the resulting image won't really have that many RGB pixels of information even if it is developed at that resolution - the will be quite a bit filled in by interpolation.

Then there is resolution loss from suboptimal focus due to needing to cover a large distance range, lens imperfections or just the air when things are far enough away.

So while the resulting image might have 120 000 000 000 pixels, it might not actually have more than 80 000 000 000 pixels worth of information. That's not to say it isn't impressive, just trying to point out that a simple gigapixel number might not actually say what you might think.

It's like Google Maps, but you're inside the earth pinned at the center and the images are projected onto the sphere. They load in tiles, so it's trivial to get it to be this fast.

"This is like only half of Manhattan, one of 5 city boroughs" would be more accurate

Though to be fair, most people _do_ associate Manhattan with NYC

Would love to know how much it costs

I don't really understand the use case.

I feel like if I'd be a potential buyer of such a camera I'd also be in the position to install many cameras in many places and get a better perspective.

What's this give you? Passive iris scanning at a distance maybe? An ability to read people's phone screens? What's the problem this is solving?

This photo is a composite. It wouldn't live stream at this resolution. So at this distance there wouldn't be any privacy implications

> do again in the summer

I'm pretty sure EarthCam does this daily.

This could be the world's biggest Where's Waldo game. Someone should dress as him the next time this takes a photo.

And here I was, just wasting my time looking at the bolts in the building (180 degrees from the opening shot).

So funny, I saw that dude right away and came here to post about that.

I found a telescope in the building, and after your suggestion, I observed the guy.

Dang, you beat me to it, I was just about to post about the naked guy I found ;)

Yes

Holy cow - I literally was just about to make this same exact comment. I was like, that's pretty incredible resolution on the rust on the steel grating. Wait, what about this bolt over here - and bam! I can see the knicks on the flathead cut surface. Pretty amazing.

Yes. The rest us are pure of heart ;)

do tell. i've been searching for flesh! ;-)

Even megapixels are not a guarantee (since the camera might do some processing) but at least they relate to the resolution _of the sensor_.

It is a bit like the nanometer nodes of the cpu processes vs using the surface size of the final cpu.

The only thing you need to understand is: Bigger Is Better Resolution.

The unit itself is basically hogwash at this point, not unlike TDP, silicon process nodes, processor clock speeds, and USB.

What you really want to know is the information content (in the information theory sense) of the image. The number of pixels is somewhat arbitrary depending on the processing involved - and especially for nonlinear projections like used here, there is no definite answer on how many pixels it should have beyond an upper and lower bound.

Water tanks: https://www.youtube.com/watch?v=3a9y-Vv1E78

Water tanks

Water tanks to supply the buildings

Those are water tanks/towers

https://en.m.wikipedia.org/wiki/Rooftop_water_tower

https://www.nytimes.com/2014/01/27/nyregion/inside-citys-wat...

> Wow. Stable diffusion is progressing exponentially. What prompts and/or model was used for to generate this? (Prove me wrong.)

When you zoom in, the pedestrians have the right number of fingers.

I'd guess 10 minutes up to an hour on modern hardware, say a new mac studio. That would be in lightroom - I'm guessing they're using optimized software for this though.

Taking the actual pictures takes at least couple minutes. The Sony A1 can take 50mp shots at 20 fps - pretty amazing. That's (conveniently) 1 gigapixel per second. So minimum 2 minutes to capture this entire image. Add at least a second between shots for the robotic housing and we're talking 4+ minutes.

Could certainly be used to capture most of the faces in a huge crowd.

They do crowd shots like this quite a bit at sporting events and whatnot. I am in this one haha: http://gigapixel.panoramas.com/superbowl/2013/

“This photo was probably created over several weeks, but that being said we could run a simple version where it runs 77 photos at 70mm to create a 2.6 gigapixel photo and that takes 15 minutes,” Cury explains.

https://petapixel.com/2021/04/27/this-120-gigapixel-photo-is...

Depending on the distance, you’re likely seeing atmospheric distortion from stuff like heat shimmer.