There's an additional "post processing" step that the article doesn't mention -- which is alignment of the images within the wiggle.

In the example images (which others have noted are stable horizontally) - This alignment gives some control over the parallax and has a very big effect on the quality of the 3D and the ultimate experience of the image.

If you put your mouse, for example, over the marlboro pack that is most directly facing the camera, you'll see it is perfectly stable relative to the screen (despite looking like it's wiggling). In the second image, this point is at the eye of the singer.

On the accidental images, which are also mostly not stable horizontally, this type of alignment can also have a very big impact. An extreme example of how this plays out can be seen in this image - which for example -- locks onto the face

https://strickgifs.tumblr.com/post/48624241536

(NB - like 12 years ago I used to do make a lot of wiggle images -- including spending some time making wigglegrams out of a set of 3D images of the 1906 San Francisco Earthquake & Fire -- https://thesanfranciscowiggle.com/)

There are many ways of making wigglegrams. The first method is to capture multiple horizontally displaced shots together at once. There were cameras designed for this in the 80s that had 4 lenses, with the widest about eye width apart; the intent was for them to be printed as lenticular 3d images. The second is to have a single shot and then synthetically create additional perspective, such as by using a depth map.

I have done both of these. For the first one[0], I used a Nimslo 3D and for the second one[1] I drew with pastels on paper, and then drew a depth map in Photoshop and used it to displace pixels horizontally for the novel perspectives.

The OP's "accidental" wigglegrams are mostly of the first variety but, the horizontal allignment is not locked in and the shots were taken not at the exact same time. That's why the parallax effect isn't as strong and they don't look as good as the first 3 images that came from Nimso/Nishika.

What is intresting is that both of these two methods are relevant in the age of modern iphone. Iphones capture multiple exposures together in live photos, so moving the iphone laterally when shooting creates a "boomerang" wigglegram. Iphones also capture depth map from the LiDAR sensor when shooting in portrait mode.

Between increased hardware capability and genai for synthesizing additional perspectives, we could be living in a golden age of wigglegrams. Alas, they are out of style.

[0] https://fooladder.com/post/115435676962/at-the-concert [1] https://fooladder.com/post/61216111704/starry-venice

Found a guy on instagram who builds a custom stereoscopic camera with 4 identical pi cams spaced evenly (about 1 inch (2.54cm)) away from each other on a line. It creates wigglegrams https://k4mera.world/

I’ll shill a library I wrote to make wigglegrams & stereograms in matplotlib - I think pseudo-3D visualization is super underrated as a technique to understand data! mpl_stereo: https://github.com/scottshambaugh/mpl_stereo

The first ones shown are quite neat and pleasant. The "accidental" ones pretty quickly gave me motion sickness as I scrolled through them. They also weren't nearly as interesting, though I couldn't look at them for very long.

That was fun, and the script on github looks hand-written which is refreshing after having been reading AI-written code for months.

I have 120k photos in iCloud that I'm sure have duplicates (I exported my library to Google Photos years ago and exported it back to iCloud). The iOS duplicate detection stopped flagging duplicates for me to merge a while back. I gotta do something like this script...

Interestingly, the pixelization/noise effect is applied clientside, so if you open an image in a new tab, you can see the original. Originals look much better, in my opinion.

Whew... the continuous motion started triggering migraine symptoms until I closed the window.

But it does have a nice 3d effect. For me, the cycle speed seems excessive. I believe someone suggested tying wiggle effect to mouse movement?

Somehow the extra motion seems to reduce the illusion of depth, it just seems like a disjointed animation to me.

> So I wrote a little script to hash all my pictures:

Would be nice to have the script, or at least the choice of perceptual hashing algorithm.