Quest 3 VR Headset Can Capture 3D Video (Some Tampering Required)

The Quest 3 VR headset is an impressive piece of hardware. It is also not open; not in the way most of us understand the word. One consequence of this is the inability in general for developers or users to directly access the feed of the two color cameras on the front of the headset. However, [Hugh Hou] shares a method of doing exactly this to capture 3D video on the Quest 3 headset for later playback on different devices.

The Quest 3 runs Android under the hood, and Developer Mode plus some ADB commands does the trick.

There are a few steps to the process and it involves enabling developer mode on the hardware then using ADB (Android Debug Bridge) commands to enable the necessary functionality, but it’s nothing the average curious hacker can’t handle. The directions are written out in the video’s description, along with a few handy links. (The video is embedded below just under the page break, but view it on YouTube to access the description and all the info in it.)

He also provides some excellent guidance on practical things like how to capture stable shots, editing the videos, and injecting the necessary metadata for optimal playback on different platforms, including hassle-free uploading to a service like YouTube. [Hugh] is no stranger to this kind of video and camera handling and really knows his stuff, and it’s great to see someone provide detailed instructions.

This kind of 3D video comes down to recording two different views, one for each eye. There’s another way to approach 3D video, however: light fields are also within reach of enterprising hackers, and while they need more hardware they yield far more compelling results.

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3D Design With Text-Based AI

Generative AI is the new thing right now, proving to be a useful tool both for professional programmers, writers of high school essays and all kinds of other applications in between. It’s also been shown to be effective in generating images, as the DALL-E program has demonstrated with its impressive image-creating abilities. It should surprise no one as this type of AI continues to make in-roads into other areas, this time with a program from OpenAI called Shap-E which can render 3D images.

Like most of OpenAI’s offerings, this takes plain language as its input and can generate relatively simple 3D models with this text. The examples given by OpenAI include some bizarre models using text prompts such as a chair shaped like an avocado or an airplane that looks like a banana. It can generate textured meshes and neural radiance fields, both of which have various advantages when it comes to available computing power, training methods, and other considerations. The 3D models that it is able to generate have a Super Nintendo-style feel to them but we can only expect this technology to grow exponentially like other AI has been doing lately.

For those wondering about the name, it’s apparently a play on the 2D rendering program DALL-E which is itself a combination of the names of the famous robot WALL-E and the famous artist Salvador Dali. The Shap-E program is available for anyone to use from this GitHub page. Even though this code comes from OpenAI themselves, plenty are speculating that the AI revolution to come will largely come from open-source sources rather than OpenAI or Google, something for which the future is somewhat hazy.

Holograms Display Time With ESP32

Holograms and holographic imagery are typically viewed within the frame of science fiction, with perhaps the most iconic examples being Princess Leia’s message to Obi-Wan in Star Wars, or the holodecks from Star Trek. In reality, holograms have been around for a surprising amount of time, with early holographic images being produced in the late 1940s. There are plenty of uses outside of imagery for modern holographic systems as well, and it’s a common enough technology that it’s possible to construct one using an ESP32 as well.

In this build, [Fiberpunk] demonstrates the construction and operation of a holographic clock. The image is three-dimensional and somewhat transparent and is driven by an ESP32 microcontroller. The display is based around a beamsplitter prism which, when viewed from the front, is almost completely invisible to the viewer. The ESP32 is housed in a casing beneath this prism, and [Fiberpunk] has two firmware versions available for the device. The first is the clock which displays an image as well as the time, and the second is more of a demonstration which can show more in-depth 3D videos using gcode models and also has motion sensing controls.

For anyone interested in holography, a platform like this is might make an excellent entry point to explore, and with the source for this build available becomes even easier. It’s almost certainly less expensive than these 3D printers that can turn out custom holographic images, and has the added benefit of being customizable and programmable as well.

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A Look At Sega’s 8-Bit 3D Glasses

From around 2012 onwards, there was a 3D viewing and VR renaissance in the entertainment industry. That hardware has grown in popularity, even if it’s not yet mainstream. However, 3D tech goes back much further, as [Nicole] shows us with a look at Sega’s ancient 8-bit 3D glasses [via Adafruit].

[Nicole]’s pair of Sega shutter glasses are battered and bruised, but she notes more modern versions are available using the same basic idea. The technology is based on liquid-crystal shutters, one for each eye. By showing the left and right eyes different images, it’s possible to create a 3D-vision effect even with very limited display hardware.

The glasses can be plugged directly into a Japanese Sega Master System, which hails from the mid-1980s. It sends out AC signals to trigger the liquid-crystal shutters via a humble 3.5mm TRS jack. Games like Space Harrier 3D, which were written to use the glasses, effectively run at a half-speed refresh rate. This is because of the 60 Hz NTSC or 50 Hz PAL screen refresh rate is split in half to serve each eye.  Unfortunately, though, the glasses don’t work on modern LCD screens, as their inherent display lag throws off the timing of the pulses the console sends to the glasses.

It’s a neat look at an ancient bit of display tech that had a small resurgence with 3DTVs in the 2010s. By and large, it seems like humans just aren’t that into 3D, at least beneath a full-VR experience. Meanwhile, if you’re wondering what 8-bit 3D looked like, we’ve got a 3D video (!) after the break.

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Building The World’s Largest Nintendo 3DS

While the Nintendo 3DS was capable of fairly impressive graphics (at least for a portable system) back in its heyday, there’s little challenge in emulating the now discontinued handheld on a modern computer or even smartphone. One thing that’s still difficult to replicate though is the stereoscopic 3D display the system was named for. But this didn’t stop [BigRig Creates] from creating this giant 3DS with almost all of the features of an original console present.

The main hurdle here is that the stereoscopic effect that Nintendo used to allow the 3DS to display 3D graphics without special glasses doesn’t work well at long distances, and doesn’t work at all if there is more than one player. To get around those limitations, this build uses a 3D TV with active glasses. This TV is mounted to a bar stool with the help of some counterweights, and a second touch-sensitive screen courtesy of McDonalds makes up the other display.

The computer driving this massive handheld console runs Citra, and also handles the scaled-up controls as well. To recreate the system’s analog touch pad, a custom joystick tipped with conductive filament is used to interact with a smartphone hidden inside the case. Opposing rubber bands are used to pull the stick back into the center when it’s not being pushed.

Plenty of 3DS games are faithfully replicated with this arcade-sized replica, and as Citra supports various 3D displays, upscaling of the graphics, and the touchscreen interface, almost everything from the original console is produced here. There are a few games that don’t work exactly right, but all in all it’s a remarkable build and, as far as we can tell, the largest 3DS in the world. Don’t forget that even though this console is out of production now, there’s still a healthy homebrew scene to take part in.

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Study Hacker History, And Update It

Looking through past hacks is a great source of inspiration. This week, we saw [Russ Maschmeyer] re-visiting a classic hack by [Jonny Lee] that made use of a Wiimote’s IR camera to fake 3D, or at least provide a compelling parallax effect that’ll fool your brain, without any expensive custom hardware.

[Lee]’s original demo was stunning, and that alone is reason to revisit it. Using the Wiimote as the webcam was inspired back in 2007, because it meant that there was no hard computer vision work to be done in estimating the viewer’s position – the camera only sees IR LEDs anyway. The tradeoff is that you had to wear two IR LEDs on your head, calibrate it just right, and that only the person with the headset on gets the illusion just right.

This is why re-visiting the past can be fruitful. As [Russ] discovered, computing power is so plentiful these days that you could do face/eye position estimation with a normal webcam easier than you could source an old Wiimote. Indeed, he’s getting the positioning so accurate that he’s worried about to which eye he’s projecting the illusion. Clearly, it’s time for a revamp.

So here’s the formula: find a brilliant old hack, and notice if it was hampered by the state of technology back when it was done. Update this using modern conveniences, and voila! You might just find that you can take the idea further, simply because you have more tools in your toolbox. Nothing wrong with standing on the shoulders of giants.

But beware! Time isn’t sitting still for you either. As soon as you make your killer 3D vision hack, VR goggles will become cheap and ubiquitous. So get it done today, before your hack becomes inspiration for the future.

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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