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  • AI has become quite prevalent

  • these days. I mean we see mobile apps

  • telling you to point your phone at your

  • kind of code, got a magazine or something

  • like that.

  • All these solutions are

  • basically using computer vision and your

  • phone camera. All they're really doing is

  • recognizing a picture, so ideally a 2D

  • image, but they can extrapolate from that.

  • Once they recognize the image they can

  • get its position in space and its

  • orientation and then just tie virtual

  • content to it. Right? Now the problem with that is,

  • it looks pretty impressive, but

  • they don't actually ,these systems,

  • understand the environment around them.

  • It doesn't know that this is a card, it

  • doesn't know that I'm holding it in my hand

  • or anything like that. So it might put my

  • hand in front of it. If it can still see

  • part of the card or anything like that,

  • it will keep drawing the content above

  • my hand and the illusion is very easy

  • to break with these things. That's because we, you know, the

  • same as the depth problem but we see in computer

  • graphics before. Exactly yes, and also

  • it limits the kinds of things you can do.

  • If all it really understands is

  • ok I've seen this thing I know my

  • position in space. It quickly limits the...

  • the things you can do with physics

  • or moving about you're tired of looking at

  • that mark and maybe moving a little bit

  • off it with optical flow as we discuss

  • another time. The thing is that there are

  • ready solutions that are trying to deal with this.

  • For example there is the Google Tango

  • project. which, what they did was this

  • group, they looked at the kinect and said

  • okay what does the kinect do? It has a

  • depth camera it reads the environment

  • around it.

  • Well, it was designed to read, eh.. to look at

  • humans and register what they're doing.

  • But it turned out it was pretty good at 3D

  • scanning stuff. So they said, alright let's

  • strap one of those to back of a

  • tablet and they came up with this.

  • This is the original Google Tango

  • development device. It has on the back of

  • it, a laser sensor depth cameras and

  • what have you. I believe it's billed as the

  • spatially aware tablet. So, it has a very

  • good understanding of where it is, its

  • orientation, what it's looking at and

  • the motion. So what this does is it creates

  • a point cloud in pretty much well real time, of

  • the environment around it.

  • Unlike the previous AI that is

  • where we started reading that original

  • point where with understanding of the

  • environment and

  • understanding of the motion of the tablet, we can

  • start tying virtual content to things we

  • couldn't before. So, I can put a mesh on

  • this floor and it will stay there or I

  • can put a piece of sound on the corner

  • of this cabinet and whenever I come

  • close i'll get to hear the sound. But this is

  • now an old device under with about 3-4

  • years old and it was only developer

  • device. There is actually the first

  • commercial device the Lenovo fab2pro

  • I believe. It is now looking like a proper

  • commercial device horrible case

  • notwithstanding and just like the

  • developer device it does have an array

  • of sensors over here.

  • So what can this do let's have a look.

  • It is probably my favorite example although

  • it's not very exciting.

  • We have this plane that is reading the

  • environment pretty well and telling me

  • what play i'm looking at the green mill

  • dog yeah so the green little dot is

  • basically the edge detection and this

  • playing over here is aligning itself to

  • the real world so in this case the table

  • there's a lot of whites are playing a

  • surface basically that is aligning

  • itself to the real world

  • I can see that only the edges line up

  • with the table and the area near the

  • wall ovens and as we go over the floor

  • seats of its turnaround and lining it up

  • to any surface

  • ok yeah so that's all very well but what

  • does it actually mean well it means that

  • i can go and understand the real world

  • so there we go

  • ok let's measure the size of the door

  • you're drawing a line

  • yeah i'm basically using a measuring

  • tape and there we have it so there are

  • essentially two market on this you can

  • see how with an understanding of the

  • space around it can actually start

  • measuring as well so we could go around

  • this room taking measurements and end up

  • with an architectural floor pan

  • I mean that is one of the use cases you

  • know they felt safe agents real estate

  • yeah it has it already though we've been

  • using it to create basic floor plans and

  • 3d model that they'll just checking the

  • website with a better understanding of

  • what is what the environment Uranus

  • populated with and how the cameras

  • moving about you can start doing way

  • more interesting things such as

  • populating the environment around you

  • with your own virtual content or

  • whatever you might want to see so this

  • is the Augmented camera application and

  • what is a normal camera application but

  • again with that whole understanding of

  • the environment things we can start

  • putting virtual content inside it so in

  • this case we can put a cat where would

  • you normally have a cat

  • let's see here oh oh there it is

  • reflected on the floor there and we have

  • a cat that is standing on the floor

  • playing on the floor with thing of the

  • devices and understanding of what floor

  • is and I guess we can also use a laser

  • pointer or where we cannot all of that

  • is that it should when it sees it up

  • there definitely not acting like him cat

  • I know to be honest but down the fish so

  • that's fine it's recognized the floor

  • and we have a cat playing on the floor

  • but maybe we can get it up onto another

  • surface that is recognized like say the

  • table and gets the difference between

  • the floor down there and the top of the

  • table but and it's jumped off the table

  • with a traditional AR application that

  • was just using a marker to do that it

  • would have an understanding of that it

  • would just be doing everything in

  • relation to that market whether we had

  • on the floor in the table

  • it wouldn't matter this now is were

  • actually having lied i went to

  • intelligence content in this case

  • populating space are real space the

  • objects that we use every day you can

  • see how this could end up being

  • something a bit more exciting in fact we

  • do have something to show for that one

  • of these so this is the max of holland

  • same principle that strapped to your

  • face

  • so as you can see in has again it's

  • pretty much a connect all across the top

  • over here right this is the proper

  • heads-up display on say something

  • earlier endeavors like the google glass

  • which is simply just the screen off to

  • the side which didn't cover your normal

  • vision with ottoman content but this is

  • yeah I see the real deal

  • this is the wall I don't want to make

  • that claim by upset start from a lot of

  • the stuff I've tried this is probably

  • the one that gets it does in fact i can

  • show you a bit more than

AI has become quite prevalent

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A2 初級

Googleタンゴ - コンピュータマニア (Google Tango - Computerphile)

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    林宜悉 に公開 2021 年 01 月 14 日
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