Photography, The Stereo Way

Most consumer-grade audio equipment has been in stereo since at least the 1960s, allowing the listener to experience sounds with a three-dimensional perspective as if they were present when the sound was originally made. Stereo photography has lagged a little behind the stereo audio trend, though, with most of the technology existing as passing fads or requiring clumsy hardware to experience fully. Not so with the DIY stereoscopic cameras like this one produced by this group of 3D photography enthusiasts, who have also some methods to view the photos in 3D without any extra hardware.

The camera uses two imaging sensors to produce a stereo image. One sensor is fixed, and the other is on a slider which allows the user to adjust the “amount” of 3D effect needed for any particular photo. [Jim] is using this camera mostly for macro photography, which means that he only needs a few millimeters of separation between the two sensors to achieve the desired effect, but for more distant objects more separation can be used. The camera uses dual Raspberry Pi processors, a lithium battery, and a touch screen interface. It includes a ton of features as well including things like focus stacking, but to get a more full experience of this build we’d highly recommend checking out the video after the break.

As for viewing the photographs, these stereoscopic 3D images require nothing more than a little practice to view them. This guide is available with some simple examples to get started, and while it does at first feel like a Magic Eye puzzle from the late 90s, it quickly becomes intuitive. Another guide has some more intricate 3D maps at the end to practice on as well. This is quite the step up from needing to use special glasses or a wearable 3D viewer of some sort. There are also some methods available to create 3D images from those taken with a regular 2D camera as well.

Thanks to [Bill] for the tip and the additional links to the guides for viewing these images!

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Bring Out The Fine Detail In Small Objects With This Coaxial Lighting Rig

All things considered, modern photography is pretty easy. It’s really just a matter of pointing the camera at the thing you want to take a picture of and letting the camera do the rest. But that doesn’t mean good photographs are easy to make, especially when fine detail is required. And that’s the reason this 3D printed coaxial lighting setup was built — to make quality photographs of small objects a snap.

The objects of [Peter Lin]’s photographic desire are coins, no doubt of the collectible variety. Since the condition of a coin is essential to determining its value, numismatic photographers really need to be meticulous about the quality of their work. The idea here is to keep the incoming light parallel to the optical axis of the camera, for which purpose ring lights around the camera lens are often used. But they can result in lighting artifacts, and can be awkward to use for such smaller subjects.

So for this setup, [Peter] essentially built a beam-splitter. The body is a printed block that’s painted matte black to keep reflections down; a little self-adhesive flocking paper helps with that too. The round aperture on the top is for the camera lens, with the square window on the side admitting light. The secret is a slot oriented at 45 degrees to both of those openings, into which the glass element from a cheap UV filter is inserted. The filter acts like a beam splitter which reflects light down onto the coin on the bottom of the block and lets it pass up into the camera lens directly above the coin, parallel to the optical axis. Genius!

The video below shows it in use with both DSLR and smartphone cameras, and the image quality is amazing. While most of us probably aren’t photographing coins, we do enough high-resolution photography of small objects that this seems applicable. In a way, it reminds us of [Big Clive]’s “TupperCam” method of high-res PCB photography (final item).

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Taking (Good) Pictures Of PCBs

Snapping pictures is not technically difficult with modern technology, but taking good photographs is another matter. There are a number of things that a photographer needs to account for in order to get the best possible results, and if the subject matter isn’t particularly photogenic to start with it makes the task just a little more difficult. As anyone who’s posted something for sale online can attest, taking pictures of everyday objects can present its own challenges even to seasoned photographers. [Martijn Braam] has a few tricks up his sleeve for pictures like this in his efforts to photograph various circuit boards.

[Martijn] has been updating the images on Hackerboards, an online image reference for single-board computers and other PCBs, and he demands quality in his uploads. To get good pictures of the PCBs, he starts with ample lighting in the form of two wirelessly-controlled flashes in softboxes. He’s also using a high quality macro lens with low distortion, but the real work goes into making sure the image is sharp and the PCBs have well-defined edges. He’s using a Python script to take two pictures with his camera, and some automation in ImageMagic to composite the two images together.

While we’re not all taking pictures of PCBs, it’s a great way of demonstrating the ways that a workflow can be automated in surprising ways, not to mention the proper ways of lighting a photography subject. There are some other excellent ways of lighting subjects that we’ve seen, too, including using broken LCD monitors, or you can take some of these principles to your workspace with this arch lighting system.

Trinocular Lens Makes Digital Wigglegrams Easier To Take

Everyone likes a good animated GIF, except for some Hackaday commenters who apparently prefer to live a joyless existence. And we can’t think of a better way to celebrate moving pictures than with a 3D printed trinocular camera that makes digital Wigglegrams a snap to create.

What’s a Wigglegram, you say? We’ve seen them before, but the basic idea is to take three separate photographs through three different lenses at the same time, so that the parallax error from each lens results in three slightly different perspectives. Stringing the three frames together as a GIF later results in an interesting illusion of depth and motion. According to [scealux], the inspiration for building this camera came from photographer [Kirby Gladstein]’s work, which we have to admit is pretty cool.

While [Kirby] uses a special lenticular film camera for her images, [scealux] decided to start his build with a Sony a6300 mirrorless digital camera. A 3D printed lens body with a focusing mechanism holds three small lenses which were harvested from disposable 35 mm film cameras — are those still a thing? Each lens sits in front of a set of baffles to control the light and ensure each of the three images falls on a distinct part of the camera’s image sensor.

The resulting trio of images shows significant vignetting, but that only adds to the charm of the finished GIF, which is created in Photoshop. That’s a manual and somewhat tedious process, but [scealux] says he has some macros to speed things up. Grainy though they may be, we like these Wigglegrams; we don’t even hate the vertical format. What we’d really like to see, though, is to see everything done in-camera. We’ve seen a GIF camera before, and while automating the post-processing would be a challenge, it seems feasible.

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ERRF 22: Building A Library Of Filament Colors

If you’ve ever paged through the color samples at the hardware store trying to match a particular color, you know how hard it can be. Not only are there nearly limitless color variations, but each manufacturer has their own formulas and tints. Often times, the only way to get the exact color you need is to get it custom mixed.

Unfortunately, that’s not really an option when it comes to filament for your 3D printer. Will that roll of orange from Hatchbox actually match the orange from Overture? That’s where the Filament Librarian comes in. Created by [Joe Kaufeld], the project aims to catalog and photograph as many 3D printer filaments as possible so you can see exactly what you’re getting.

Now of course, if it was as easy as looking at pictures of filament swatches on your computer, you wouldn’t need this service to begin with. So what’s the trick? A custom automated camera rig, powered by the Raspberry Pi, is used to position, light, and photograph each filament sample in the library. So while [Joe] can’t promise your monitor is showing a perfect representation of each filament’s color, you can at least be sure they will all look correct in relation to each other. So for example, the site can help you figure out if the local Microcenter stocks anything that comes close to matching Prusament’s Galaxy Silver PLA.

[Joe] brought a collection of his samples along with his slick camera setup to the 2022 East Coast RepRap Festival so attendees could see first-hand how he adds a new filament to the database. With an easy-to-use touch-screen interface, it takes just seconds to get the camera ready for the next shot.

Now that he’s got the hardware and the procedure down, [Joe] is asking the community to help out by providing him with filament samples to process. It doesn’t take much: all he asks is you snip him off a couple meters of filament, write down what it is and who makes it on a pre-made form, and drop it in the mail. If you’re in the US, you can send it directly to his address in Indiana, and for those on the other side of the globe, he’s got a drop point in the Netherlands you can use.

We love a good passion project here at Hackaday, so here’s hoping that the Filament Librarian receives plenty of new filament samples from all over the planet to feed into that fancy camera setup of his.

Mommy, Where Do Ideas Come From?

We wrote up an astounding old use of technology – François Willème’s 3D scanning and modeling apparatus from 1861, over 150 years ago. What’s amazing about this technique is that it used absolutely cutting-edge technology for the time, photography, and the essence of a technique still used today in laser-line 3D scanners, or maybe even more closely related to the “bullet time” effect.

This got me thinking of how Willème could have possibly come up with the idea of taking 24 simultaneous photographs, tracing the outline in wood, and then re-assembling them radially into a 3D model. And all of this in photography’s very infancy.

But Willème was already a sculptor, and had probably seen how he could use photos to replace still models in the studio, at least to solidify proportions. And he was probably also familiar with making cameos, where the profile was often illuminated from behind and carved, often by tracing shadows. From these two, you could certainly imagine his procedure, but there’s still an admirable spark of genius at work.

Could you have had that spark without the existence of photography? Not really. Tracing shadows in the round is impractical unless you can fix them. The existence of photography enabled this idea, and countless others, to come into existence.

That’s what I think is neat about technology, and the sharing of new technological ideas. Oftentimes they are fantastic in and of themselves, like photography indubitably was. But just as often, the new idea is a seed for more new ideas that radiate outward like ripples in a pond.

An Automated Digitizer For 35mm Slides

Slides make for great old-timey fun, but it’s awesome to have a digital backup of your old photos, too. An automatic digitizer can make quick work of your collection, and this build from [rbwood53] will do just that.

The digitizizer is based on a Kodak carousel slide projector. It’s fitted with LED strips instead of the original light source, which are used to illuminate the slides themselves. An Arduino Nano is used to command a camera to take photos, via a hacked-up shutter release remote. The camera is set up with a zoom lens and relies on auto-focus to get crisp, clear images of the slides. The Arduino is also charged with telling the carousel system to advance to the next slide as required. It keeps count as the slides go by, so it stops when the entire carousel has been imaged.

Overall, it’s a straightforward build that automatically imaged over 40 boxes of slides for [rbwood53] without issue. If you’ve got a smaller collection to digitize, you might find this simple 3D-printed adapter to be useful, too!