#doublefusion

[ph0nikos]

19-01 📷

[head-canon-house-blog]

So this is beatwing's (my) new blog

All my OCs, headcanons, and stories go here, on top of RP asks!…I REALLY want to flesh out my characters personalities and their back storys as well, the following are to talk with are…

(there will be more added to this list so this isn’t set in stone)

Angela Delpenna the Avian (my monster sona) Lilith Grieves the Daeviel Esther the half demon-angel rogue thief Contract!Tale Sans (coming soon!) Contract!Tale Gaster (shhhh WIP) UT Nashville “West” UF Nashville “Tex” Sheltertale Sans “Toggle” DoubleFusion “Sloth” (WIP) DoubleFusion “Pride” (WIP) DoubleFusion “F.A.T.E.” (WIP) Bernard Slate the Stone Construct (owner of HeadCanonHouse) Patricia Write the Clockwork Automaton (owner of PromptPictures)

Like I said earlier, there will be more! This list is incomplete (coz my memory be shite) the one I have the most stuff on is Esther, most of the others (excluding Angela, ((because shes my sona))Patricia, and Bernard because they exist for their blogs) are just personality right now… You can still talk to them, just don’t ask about their history…so if you are curious about Esther’s life, feel free to ask her!

You can even ask about their opinions on other UNDERTALE AU characters

There will be headcanons for all of them coming out soon!!

[keiththorndike]

28 hours left! #praisethelord #long8weeks #thankyoujesus #sooverit #readyfornormal #skinnyneck #nomorebrace #bracebegone #brandnewneck #necksurgery #doublefusion #cagesandabracket #feelbetter #feelingamazing #gotmylifeback #score #winnerwinner #liferocks #imreadyforthefuture (at Plano, Texas) https://www.instagram.com/p/BvPF0cDA7U3/?utm_source=ig_tumblr_share&igshid=u263f9yzofaj

[gyanpoint]

What’s under those clothes? This system tracks body shapes in real time

With augmented reality coming in hot and depth tracking cameras due to arrive on flagship phones, the time is right to improve how computers track the motions of people they see — even if that means virtually stripping them of their clothes. A new computer vision system that does just that may sound a little creepy, but it definitely has its uses.

The basic problem is that if you’re going to capture a human being in motion, say for a movie or for an augmented reality game, there’s a frustrating vagueness to them caused by clothes. Why do you think motion capture actors have to wear those skintight suits? Because their JNCO jeans make it hard for the system to tell exactly where their legs are. Leave them in the trailer.

Same for anyone wearing a dress, a backpack, a jacket — pretty much anything other than the bare minimum will interfere with the computer getting a good idea of how your body is positioned.

The multi-institutional project (PDF), due to be presented at CVPR in Salt Lake City, combines depth data with smart assumptions about how a body is shaped and what it can do. The result is a sort of X-ray vision, revealing the shape and position of a person’s body underneath their clothes, that works in real time even during quick movements like dancing.

The paper builds on two previous methods, DynamicFusion and BodyFusion. The first uses single-camera depth data to estimate a body’s pose, but doesn’t work well with quick movements or occlusion; the second uses a skeleton to estimate pose but similarly loses track during fast motion. The researchers combined the two approaches into “DoubleFusion,” essentially creating a plausible skeleton from the depth data and then sort of shrink-wrapping it with skin at an appropriate distance from the core.

As you can see above, depth data from the camera is combined with some basic reference imagery of the person to produce both a skeleton and track the joints and terminations of the body. On the right there, you see the results of just DynamicFusion (b), just BodyFusion (c) and the combined method (d).

The results are much better than either method alone, seemingly producing excellent body models from a variety of poses and outfits:

Hoodies, headphones, baggy clothes, nothing gets in the way of the all-seeing eye of DoubleFusion.

One shortcoming, however, is that it tends to overestimate a person’s body size if they’re wearing a lot of clothes — there’s no easy way for it to tell whether someone is broad or they are just wearing a chunky sweater. And it doesn’t work well when the person interacts with a separate object, like a table or game controller — it would likely try to interpret those as weird extensions of limbs. Handling these exceptions is planned for future work.

The paper’s first author is Tao Yu of Tsinghua University in China, but researchers from Beihang University, Google, USC, and the Max Planck Institute were also involved.

“We believe the robustness and accuracy of our approach will enable many applications, especially in AR/VR, gaming, entertainment and even virtual try-on as we also reconstruct the underlying body shape,” write the authors in the paper’s conclusion. “For the first time, with DoubleFusion, users can easily digitize themselves.”

There’s no use denying that there are lots of interesting applications of this technology. But there’s also no use denying that this technology is basically X-ray Spex.

from TechCrunch https://ift.tt/2ljiFru from Blogger https://ift.tt/2LY32kA

[theinvinciblenoob]

With augmented reality coming in hot and depth tracking cameras due to arrive on flagship phones, the time is right to improve how computers track the motions of people they see — even if that means virtually stripping them of their clothes. A new computer vision system that does just that may sound a little creepy, but it definitely has its uses.

The basic problem is that if you’re going to capture a human being in motion, say for a movie or for an augmented reality game, there’s a frustrating vagueness to them caused by clothes. Why do you think motion capture actors have to wear those skintight suits? Because their JNCO jeans make it hard for the system to tell exactly where their legs are. Leave them in the trailer.

Same for anyone wearing a dress, a backpack, a jacket — pretty much anything other than the bare minimum will interfere with the computer getting a good idea of how your body is positioned.

The multi-institutional project (PDF), due to be presented at CVPR in Salt Lake City, combines depth data with smart assumptions about how a body is shaped and what it can do. The result is a sort of X-ray vision, revealing the shape and position of a person’s body underneath their clothes, that works in real time even during quick movements like dancing.

The paper builds on two previous methods, DynamicFusion and BodyFusion. The first uses single-camera depth data to estimate a body’s pose, but doesn’t work well with quick movements or occlusion; the second uses a skeleton to estimate pose but similarly loses track during fast motion. The researchers combined the two approaches into “DoubleFusion,” essentially creating a plausible skeleton from the depth data and then sort of shrink-wrapping it with skin at an appropriate distance from the core.

As you can see above, depth data from the camera is combined with some basic reference imagery of the person to produce both a skeleton and track the joints and terminations of the body. On the right there, you see the results of just DynamicFusion (b), just BodyFusion (c), and the combined method (d).

The results are much better than either method alone, seemingly producing excellent body models from a variety of poses and outfits:

Hoodies, headphones, baggy clothes, nothing gets in the way of the all-seeing eye of DoubleFusion.

One shortcoming, however, is that it tends to overestimate a person’s body size if they’re wearing a lot of clothes — there’s no easy way for it to tell whether someone is broad or they are just wearing a chunky sweater. And it doesn’t work well when the person interacts with a separate object, like a table or game controller — it would likely try to interpret those as weird extensions of limbs. Handling these exceptions is planned for future work.

The paper’s first author is Tao Yu of Tsinghua University in China, but researchers from Beihang University, Google, USC, and the Max Planck Institute were also involved.

“We believe the robustness and accuracy of our approach will enable many applications, especially in AR/VR, gaming, entertainment and even virtual try-on as we also reconstruct the underlying body shape,” write the authors in the paper’s conclusion. “For the first time, with DoubleFusion, users can easily digitize themselves.”

There’s no use denying that there are lots of interesting applications of this technology. But there’s also no use denying that this technology is basically X-ray Spex.

via TechCrunch

[head-canon-house-blog]

What is doublefusion?

Double!fusion is an idea about two universes colliding and making a new Double Variant AU, like FellSwap or EchoMob! But in this AU...Bluberry (or UnderSwap Sans as most of you know him as) and Undertale Pap...Got Fused together as one monster! Same with Swap Pap and Classic Sans! They both see each other as brothers in this AU as always...but they're personalities and abilities have become much stronger than they were before...Mettaton and NabstaBot have also fused as well as FabstaBlook and NabstaBlook...As well as the humanaNd sOmE oNEElSe .,..Pretty much all I got for this AU right nowStill haven't sorted out Undyne and Alphys yetBut if anyone has any ideas about what to do with Alphys, Undyne, Grillbz, Muffet, Toriel, and Asgore...I'm more than happy to listen to any input!!