TEDxBeaconStreet
Michael Rubinstein: See invisible motion, hear silent sounds
迈克尔·鲁宾斯坦: 看到不可见的运动，听到沉默的声音。酷？令人毛骨悚然？我们不能决定
Filmed:
Readability: 4.1
2,075,056 views
看看“运动显微镜”，一个视频处理软件，可以把运动或颜色的微小变化转化为肉眼可见。视频研究员迈克尔·鲁宾斯坦播放了一段令人惊异的视频，视频中展示了这项技术可以从一段视频获取某人的脉搏和心跳。看他通过放大声音在薯片袋上造成的震动，重构出声音。这项技术令人叹为观止的邪恶应用，您有必要眼见为实。
Michael Rubinstein - Research scientist, Google
Computer scientist Michael Rubinstein and his team have developed a "motion microscope" that can show video footage of barely perceivable movements, like breaths and heartbeats. Full bio
Computer scientist Michael Rubinstein and his team have developed a "motion microscope" that can show video footage of barely perceivable movements, like breaths and heartbeats. Full bio
Double-click the English transcript below to play the video.
00:13
So over the past few centuries,
microscopes have revolutionized our world.
microscopes have revolutionized our world.
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过去的几个世纪，显微镜改变了世界。
00:21
They revealed to us a tiny world
of objects, life and structures
of objects, life and structures
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它揭示了肉眼难以看到的
00:26
that are too small for us
to see with our naked eyes.
to see with our naked eyes.
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物体，生命和结构的微观世界。
00:29
They are a tremendous contribution
to science and technology.
to science and technology.
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它对科技进步做出了巨大的贡献。
00:32
Today I'd like to introduce you
to a new type of microscope,
to a new type of microscope,
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今天我要向您介绍一类新型显微镜，
00:35
a microscope for changes.
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观察变化的显微镜。
00:37
It doesn't use optics
like a regular microscope
like a regular microscope
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它不是通常所说的光学显微镜
00:40
to make small objects bigger,
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可以放大微小物体，
00:42
but instead it uses a video camera
and image processing
and image processing
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它利用视频摄像机和图像处理
00:47
to reveal to us the tiniest motions
and color changes in objects and people,
and color changes in objects and people,
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来揭示物体和人的微小的颜色和运动变化，
00:52
changes that are impossible
for us to see with our naked eyes.
for us to see with our naked eyes.
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这些变化是光凭肉眼难以分辨的。
00:56
And it lets us look at our world
in a completely new way.
in a completely new way.
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它可以让我们以全新角度看世界。
01:00
So what do I mean by color changes?
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我所说的颜色变化是什么意思呢？
01:02
Our skin, for example,
changes its color very slightly
changes its color very slightly
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举例来说，我们的皮肤，当血液流动时
01:05
when the blood flows under it.
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皮肤表面的颜色有微弱变化。
01:07
That change is incredibly subtle,
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变化十分微小，
01:09
which is why, when you
look at other people,
look at other people,
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小到当你观察坐在
01:11
when you look at the person
sitting next to you,
sitting next to you,
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你身边的人的时候，
01:13
you don't see their skin
or their face changing color.
or their face changing color.
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你不能看到他脸上皮肤的颜色变化。
01:17
When we look at this video of Steve here,
it appears to us like a static picture,
it appears to us like a static picture,
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我们看看史蒂夫的这段视频，看上去好像是静态图片，
01:21
but once we look at this video
through our new, special microscope,
through our new, special microscope,
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但是一旦我们通过我们新的、特别的显微镜看这段视频，
01:25
suddenly we see
a completely different image.
a completely different image.
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我们会看到完全不同的影像。
01:28
What you see here are small changes
in the color of Steve's skin,
in the color of Steve's skin,
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您在这里看到的是史蒂夫皮肤颜色微小变化
01:32
magnified 100 times
so that they become visible.
so that they become visible.
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放大100倍之后的肉眼可见的效果。
01:36
We can actually see a human pulse.
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我们可以明确的看到人体的脉搏。
01:39
We can see how fast
Steve's heart is beating,
Steve's heart is beating,
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我们可以看到史蒂夫心脏跳动得多快，
01:43
but we can also see the actual way
that the blood flows in his face.
that the blood flows in his face.
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我们还可以明确地看到血液是如何流经史蒂夫脸部的。
01:48
And we can do that not just
to visualize the pulse,
to visualize the pulse,
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我们不仅可以看到脉搏，
01:51
but also to actually
recover our heart rates,
recover our heart rates,
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还可以推测心跳速率，
01:54
and measure our heart rates.
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得到我们心跳速率。
01:56
And we can do it with regular cameras
and without touching the patients.
and without touching the patients.
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我们可以通过常用摄像机，不需碰触病人就可以实现。
02:00
So here you see the pulse and heart rate
we extracted from a neonatal baby
we extracted from a neonatal baby
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这里您可以看到我们提取的新生儿宝宝的脉搏和心跳速率
02:06
from a video we took
with a regular DSLR camera,
with a regular DSLR camera,
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这是从常规数码单反相机视频中提取的，
02:09
and the heart rate measurement we get
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我们测出的心率
02:11
is as accurate as the one you'd get
with a standard monitor in a hospital.
with a standard monitor in a hospital.
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和医院监测器测出的一样精确。
02:16
And it doesn't even have to be
a video we recorded.
a video we recorded.
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而且我们的软件甚至不需要我们自己专门拍摄的视频。
02:18
We can do it essentially
with other videos as well.
with other videos as well.
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我们可以对其他视频作同样处理。
02:21
So I just took a short clip
from "Batman Begins" here
from "Batman Begins" here
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这是我截取《蝙蝠侠：侠影之谜》（Batman Begins）的一小段片断
02:25
just to show Christian Bale's pulse.
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显示演员克里斯蒂安·贝尔（Christian Bale）的脉搏。
02:27
(Laughter)
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（笑声）
02:29
And you know, presumably
he's wearing makeup,
he's wearing makeup,
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你知道，他应该是化了妆了，
02:31
the lighting here is kind of challenging,
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灯光也是挑战，
02:33
but still, just from the video,
we're able to extract his pulse
we're able to extract his pulse
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但是我们同样从这段视频中提取到了他的脉搏
02:36
and show it quite well.
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演示效果不错。
02:38
So how do we do all that?
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我们是如何做到的呢？
02:40
We basically analyze the changes
in the light that are recorded
in the light that are recorded
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首先我们分析了录像中每个像素
02:44
at every pixel in the video over time,
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的光线随时间发生的变化，
02:47
and then we crank up those changes.
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我们放大这些变化。
02:48
We make them bigger
so that we can see them.
so that we can see them.
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经过放大使我们肉眼可以看见这些变化。
02:51
The tricky part is that those signals,
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棘手的部分是，那些信号，
02:52
those changes that we're after,
are extremely subtle,
are extremely subtle,
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那些我们要放大的信号十分微小，
02:55
so we have to be very careful
when you try to separate them
when you try to separate them
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所以我们必须把它们和视频中存在的噪音
02:58
from noise that always exists in videos.
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区分出来。
03:02
So we use some clever
image processing techniques
image processing techniques
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所以我们应用了一些聪明的影像处理技巧
03:05
to get a very accurate measurement
of the color at each pixel in the video,
of the color at each pixel in the video,
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精确的测量每个像素中的颜色，
03:09
and then the way the color
changes over time,
changes over time,
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然后得出颜色随时间的变化，
03:12
and then we amplify those changes.
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再然后我们放大这些变化。
03:14
We make them bigger to create those types
of enhanced videos, or magnified videos,
of enhanced videos, or magnified videos,
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我们可以放大这些变化，增强视频、或放大视频，
03:18
that actually show us those changes.
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这样就可以演示出变化。
03:21
But it turns out we can do that
not just to show tiny changes in color,
not just to show tiny changes in color,
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事实上，我们不仅可以展示颜色的细小变化，
03:25
but also tiny motions,
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同样也可以展示微小的运动，
03:27
and that's because the light
that gets recorded in our cameras
that gets recorded in our cameras
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这是因为我们的摄像机
03:31
will change not only if the color
of the object changes,
of the object changes,
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不仅记录物体的颜色变化，
03:33
but also if the object moves.
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同样也记录了物体的运动。
03:36
So this is my daughter
when she was about two months old.
when she was about two months old.
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这是我女儿，那时她才两个月大。
03:39
It's a video I recorded
about three years ago.
about three years ago.
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这是我三年前拍的。
03:42
And as new parents, we all want
to make sure our babies are healthy,
to make sure our babies are healthy,
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作为初为人父母，我们要确保孩子的健康，
03:46
that they're breathing,
that they're alive, of course.
that they're alive, of course.
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当然是，确保呼吸，确保活着。
03:48
So I too got one of those baby monitors
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所以我也买了个婴儿监控器
03:50
so that I could see my daughter
when she was asleep.
when she was asleep.
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这也我可以在她睡着时看到她。
03:53
And this is pretty much what you'll see
with a standard baby monitor.
with a standard baby monitor.
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这是标准婴儿监控器所看到的。
03:56
You can see the baby's sleeping, but
there's not too much information there.
there's not too much information there.
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您可以看到孩子睡着了，但没有其他信息了。
04:00
There's not too much we can see.
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我们看不到更多东西。
04:02
Wouldn't it be better,
or more informative, or more useful,
or more informative, or more useful,
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可不可以更好点儿，有更多信息，更有用，
04:04
if instead we could look
at the view like this.
at the view like this.
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就像这样。
04:07
So here I took the motions
and I magnified them 30 times,
and I magnified them 30 times,
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这里我放大了运动30倍，
04:14
and then I could clearly see that my
daughter was indeed alive and breathing.
daughter was indeed alive and breathing.
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这样我就可以真切地看到我女儿还活着，在呼吸。
04:18
(Laughter)
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（笑声）
04:20
Here is a side-by-side comparison.
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这是效果对比。
04:22
So again, in the source video,
in the original video,
in the original video,
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同样，在原始视频上，
04:24
there's not too much we can see,
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我们看不到什么，
04:26
but once we magnify the motions,
the breathing becomes much more visible.
the breathing becomes much more visible.
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但是一旦我放大了运动，呼吸变得肉眼可见了 。
04:30
And it turns out, there's
a lot of phenomena
a lot of phenomena
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事实上，我们用我们的“运动显微镜”
04:32
we can reveal and magnify
with our new motion microscope.
with our new motion microscope.
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可以揭示很多现象。
04:35
We can see how our veins and arteries
are pulsing in our bodies.
are pulsing in our bodies.
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我们可以看到体内静脉和动脉的脉动。
04:40
We can see that our eyes
are constantly moving
are constantly moving
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我们可以看到我们的眼睛在不断运动
04:42
in this wobbly motion.
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在晃动中。
04:44
And that's actually my eye,
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这实际上是我的眼睛，
04:46
and again this video was taken
right after my daughter was born,
right after my daughter was born,
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同样，这段视频拍摄于我女儿出生不久之后，
04:49
so you can see I wasn't getting
too much sleep. (Laughter)
too much sleep. (Laughter)
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所以你可以看到我睡得不多。（血丝）（笑声）
04:53
Even when a person is sitting still,
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即使当人在静止坐着，
04:56
there's a lot of information
we can extract
we can extract
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我们也可以提取许多信息
04:58
about their breathing patterns,
small facial expressions.
small facial expressions.
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如呼吸节律，面部表情微小变化。
05:01
Maybe we could use those motions
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也许这可以
05:03
to tell us something about
our thoughts or our emotions.
our thoughts or our emotions.
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告诉我们，我们的想法或情绪。
05:06
We can also magnify small
mechanical movements,
mechanical movements,
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我们同样也可以方法微小的机械运动，
05:09
like vibrations in engines,
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如引擎的震动，
05:11
that can help engineers detect
and diagnose machinery problems,
and diagnose machinery problems,
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这可以帮助工程师诊断机械问题，
05:15
or see how our buildings and structures
sway in the wind and react to forces.
sway in the wind and react to forces.
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或者看到建筑或结构的随风摇动。
05:19
Those are all things that our society
knows how to measure in various ways,
knows how to measure in various ways,
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我们知道这些变化可以通过其他方法测量，
05:24
but measuring those motions is one thing,
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但是测量是一回事，
05:26
and actually seeing those
motions as they happen
motions as they happen
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肉眼看到的又是
05:29
is a whole different thing.
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另一回事。
05:31
And ever since we discovered
this new technology,
this new technology,
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自从我们开发者这项新技术，
05:34
we made our code available online so that
others could use and experiment with it.
others could use and experiment with it.
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我们便把代码放到了网上，这样其他人可以使用试验它。
05:38
It's very simple to use.
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用起来很简单。
05:40
It can work on your own videos.
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可以处理你自己拍的视频。
05:42
Our collaborators at Quanta Research
even created this nice website
even created this nice website
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我们的合作伙伴，量研科技(Quanta Research)，甚至建了个网站
05:45
where you can upload your videos
and process them online,
and process them online,
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这里可以上传视频并在线处理，
05:48
so even if you don't have any experience
in computer science or programming,
in computer science or programming,
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这样即使你没有计算机科学或编程经验
05:52
you can still very easily experiment
with this new microscope.
with this new microscope.
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也可以试验这种新型“显微镜”。
05:55
And I'd like to show you
just a couple of examples
just a couple of examples
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我要演示几个其他的例子
05:57
of what others have done with it.
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别人用它做了什么。
06:00
So this video was made by
a YouTube user called Tamez85.
a YouTube user called Tamez85.
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这段视频是一个叫Tamez85的YouTube用户作的
06:05
I don't know who that user is,
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我不知道他是谁，
06:07
but he, or she, used our code
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但是他(她)用我们的代码
06:09
to magnify small belly
movements during pregnancy.
movements during pregnancy.
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方法了孕妇腹部的运动。
06:13
It's kind of creepy.
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令人毛骨悚然。
06:14
(Laughter)
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（笑声）
06:16
People have used it to magnify
pulsing veins in their hands.
pulsing veins in their hands.
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人们用它放在自己的腕部脉搏。
06:21
And you know it's not real science
unless you use guinea pigs,
unless you use guinea pigs,
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你知道要能被称为科学必须用到豚鼠，
06:25
and apparently this guinea pig
is called Tiffany,
is called Tiffany,
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显然这只豚鼠叫蒂芙妮，
06:28
and this YouTube user claims
it is the first rodent on Earth
it is the first rodent on Earth
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这位YouTube用户声称
06:31
that was motion-magnified.
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这是地球上首个运动被放大的啮齿类动物。
06:34
You can also do some art with it.
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你也可以用它进行艺术创作。
06:36
So this video was sent to me
by a design student at Yale.
by a design student at Yale.
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这是耶鲁大学设计系学生发给我的视频。
06:39
She wanted to see
if there's any difference
if there's any difference
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她想看看
06:41
in the way her classmates move.
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她同学运动的方式有何不同。
06:43
She made them all stand still,
and then magnified their motions.
and then magnified their motions.
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她让他们静止站立然后放大他们的运动。
06:47
It's like seeing
still pictures come to life.
still pictures come to life.
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者看上去像是图片有了生命。
06:50
And the nice thing with
all those examples
all those examples
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这些例子的有意思的地方是
06:53
is that we had nothing to do with them.
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我们没有进行干预。
06:55
We just provided this new tool,
a new way to look at the world,
a new way to look at the world,
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我们只是提供了新工具，一种看世界的新方法，
06:59
and then people find other interesting,
new and creative ways of using it.
new and creative ways of using it.
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然后人们就找到其他有意思、新的创造性地方法使用这个工具。
07:04
But we didn't stop there.
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我们不满足于此。
07:06
This tool not only allows us
to look at the world in a new way,
to look at the world in a new way,
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这个工具不仅使我们有了看世界的新方法，
07:09
it also redefines what we can do
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同样它还重新定义了
07:11
and pushes the limits of what
we can do with our cameras.
we can do with our cameras.
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摄像机的功能限制。
07:15
So as scientists, we started wondering,
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作为科学家，我们开始思考，
07:17
what other types of physical phenomena
produce tiny motions
produce tiny motions
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其他物理现象造成的微小振动
07:21
that we could now use
our cameras to measure?
our cameras to measure?
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现在我们可以用摄像机来测量？
07:23
And one such phenomenon
that we focused on recently is sound.
that we focused on recently is sound.
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其中一种现象就是，声音。
07:27
Sound, as we all know,
is basically changes
is basically changes
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声音，我们知道
07:30
in air pressure that
travel through the air.
travel through the air.
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声音是一种压力波，依靠空气的压缩变化在空气中传播。
07:32
Those pressure waves hit objects
and they create small vibrations in them,
and they create small vibrations in them,
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压力波碰到物体，就会引起物体本身的微小震动。
07:35
which is how we hear
and how we record sound.
and how we record sound.
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这就是我们听到了录音的原理。
07:38
But it turns out that sound
also produces visual motions.
also produces visual motions.
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这样，声音也会造成物体的视觉运动。
07:42
Those are motions
that are not visible to us
that are not visible to us
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这些运动，肉眼难于分辨
07:44
but are visible to a camera
with the right processing.
with the right processing.
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但是通过处理摄像机却可见。
07:47
So here are two examples.
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这里有两个例子。
07:49
This is me demonstrating
my great singing skills.
my great singing skills.
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这里我展示我伟大的歌唱技巧。
07:53
(Singing)
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（歌唱）
07:54
(Laughter)
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（笑声）
07:56
And I took a high-speed video
of my throat while I was humming.
of my throat while I was humming.
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我哼唱时，我录了一段高速视频。
07:59
Again, if you stare at that video,
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如果您盯着视频看的话，
08:00
there's not too much
you'll be able to see,
you'll be able to see,
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仅凭肉眼您是看不出什么端倪的，
08:02
but once we magnify the motions 100 times,
we can see all the motions and ripples
we can see all the motions and ripples
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但是当我把运动方法100倍后我们就可以看到颈部的运动和波纹
08:07
in the neck that are involved
in producing the sound.
in producing the sound.
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这是由于声音震动造成的。
08:10
That signal is there in that video.
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信号就藏在这段视频中。
08:13
We also know that singers
can break a wine glass
can break a wine glass
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我们知道，歌唱家可以震碎酒杯
08:15
if they hit the correct note.
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如果他们发出正确的音符。
08:17
So here, we're going to play a note
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我们播放一个音符
08:19
that's in the resonance
frequency of that glass
frequency of that glass
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玻璃杯旁边音箱发出
08:21
through a loudspeaker that's next to it.
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的共振频率。
08:23
Once we play that note
and magnify the motions 250 times,
and magnify the motions 250 times,
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我们播放音符，然后方法运动250倍，
08:28
we can very clearly see
how the glass vibrates
how the glass vibrates
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我们可以清楚的看到
08:30
and resonates in response to the sound.
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玻璃杯是如何响应声音共振的振动的。
08:34
It's not something you're used
to seeing every day.
to seeing every day.
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这是我们日常见不到的。
08:36
But this made us think.
It gave us this crazy idea.
It gave us this crazy idea.
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但是这激发了我们思考。给我们一个疯狂的主意。
08:40
Can we actually invert this process
and recover sound from video
and recover sound from video
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我们能不能通过分析声音在物体上造成的微小振动
08:45
by analyzing the tiny vibrations
that sound waves create in objects,
that sound waves create in objects,
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从视频中逆向重构出声音来呢，
08:49
and essentially convert those
back into the sounds that produced them.
back into the sounds that produced them.
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重构出原来的声音呢？
08:54
In this way, we can turn
everyday objects into microphones.
everyday objects into microphones.
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依靠这种方法，我们可以把任何物体变成麦克风。
08:58
So that's exactly what we did.
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我们真的照做了。
09:01
So here's an empty bag of chips
that was lying on a table,
that was lying on a table,
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这是一个空薯片袋，放在桌上，
09:03
and we're going to turn that
bag of chips into a microphone
bag of chips into a microphone
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我们要把这个薯片袋变为一个麦克风
09:06
by filming it with a video camera
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用摄像机拍摄视频
09:08
and analyzing the tiny motions
that sound waves create in it.
that sound waves create in it.
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然后分析视频中声音造成的微小振动。
09:11
So here's the sound
that we played in the room.
that we played in the room.
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这是我们在房间中播放的声音。
09:14
(Music: "Mary Had a Little Lamb")
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（音乐：“Mary Had a Little Lamb”）
09:22
And this is a high-speed video
we recorded of that bag of chips.
we recorded of that bag of chips.
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这是我们摄制的薯片袋的高速视频。
09:25
Again it's playing.
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同样，
09:26
There's no chance you'll be able
to see anything going on in that video
to see anything going on in that video
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您凭肉眼
09:29
just by looking at it,
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是看不出来什么的，
09:30
but here's the sound we were able
to recover just by analyzing
to recover just by analyzing
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但是我们可以通过分析视频中微小的振动
09:33
the tiny motions in that video.
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恢复出原有的声音。
09:35
(Music: "Mary Had a Little Lamb")
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（音乐：“Mary Had a Little Lamb”）
09:52
I call it -- Thank you.
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我叫它 —— 谢谢。
09:54
(Applause)
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（掌声）
10:01
I call it the visual microphone.
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我叫它视觉麦克风。
10:04
We actually extract audio signals
from video signals.
from video signals.
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实际上我们从视频信号中提取了音频信号。
10:07
And just to give you a sense
of the scale of the motions here,
of the scale of the motions here,
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为了让您了解运动的大小，
10:10
a pretty loud sound will cause that bag
of chips to move less than a micrometer.
of chips to move less than a micrometer.
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一个特别大的声音可以导致薯片袋一微米的变化。
10:16
That's one thousandth of a millimeter.
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也就是千分之一毫米。
10:18
That's how tiny the motions are
that we are now able to pull out
that we are now able to pull out
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这就是我们能够提取出来的微小运动
10:22
just by observing how light
bounces off objects
bounces off objects
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仅仅是通过摄像机录制的视频
10:25
and gets recorded by our cameras.
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观察光线在物体上的变化。
10:27
We can recover sounds
from other objects, like plants.
from other objects, like plants.
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我们可以从物体上重构出原声音，如植物。
10:31
(Music: "Mary Had a Little Lamb")
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（音乐：“Mary Had a Little Lamb”）
10:39
And we can recover speech as well.
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我们也可以重构出讲话。
10:41
So here's a person speaking in a room.
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这是一个人在房间中讲话。
10:43
Voice: Mary had a little lamb
whose fleece was white as snow,
whose fleece was white as snow,
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（声音：Mary had a little lamb
whose fleece was white as snow,）
whose fleece was white as snow,）
10:47
and everywhere that Mary went,
that lamb was sure to go.
that lamb was sure to go.
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and everywhere that Mary went,
that lamb was sure to go.
that lamb was sure to go.
10:52
Michael Rubinstein: And here's
that speech again recovered
that speech again recovered
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迈克尔·鲁宾斯坦：这是一个讲话
10:54
just from this video
of that same bag of chips.
of that same bag of chips.
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这段视频同样是由那个薯片袋重构出声音。
10:58
Voice: Mary had a little lamb
whose fleece was white as snow,
whose fleece was white as snow,
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声音：Mary had a little lamb
whose fleece was white as snow,
whose fleece was white as snow,
11:03
and everywhere that Mary went,
that lamb was sure to go.
that lamb was sure to go.
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and everywhere that Mary went,
that lamb was sure to go.
that lamb was sure to go.
11:07
MR: We used "Mary Had a Little Lamb"
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迈克尔·鲁宾斯坦：我们用儿歌“Mary Had a Little Lamb”
11:10
because those are said to be
the first words
the first words
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因为托马斯 爱迪生在1877年
11:12
that Thomas Edison spoke
into his phonograph in 1877.
into his phonograph in 1877.
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第一次录制在留声机上的也是这首儿歌。
11:16
It was one of the first sound
recording devices in history.
recording devices in history.
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这是历史上第一个录音设备。
11:19
It basically directed the sounds
onto a diaphragm
onto a diaphragm
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原理是把声音录在薄膜上
11:23
that vibrated a needle that essentially
engraved the sound on tinfoil
engraved the sound on tinfoil
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声音通过振动的针头刻录在锡箔上
11:27
that was wrapped around the cylinder.
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锡箔被包裹在圆柱体上。
11:29
Here's a demonstration of recording and
replaying sound with Edison's phonograph.
replaying sound with Edison's phonograph.
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这是演示爱迪生留声机的录制和回放。
11:35
(Video) Voice: Testing,
testing, one two three.
testing, one two three.
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（视频）声音：Testing,
testing, one two three.
testing, one two three.
11:38
Mary had a little lamb
whose fleece was white as snow,
whose fleece was white as snow,
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Mary had a little lamb
whose fleece was white as snow,
whose fleece was white as snow,
11:41
and everywhere that Mary went,
the lamb was sure to go.
the lamb was sure to go.
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and everywhere that Mary went,
the lamb was sure to go.
the lamb was sure to go.
11:45
Testing, testing, one two three.
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Testing, testing, one two three.
11:48
Mary had a little lamb
whose fleece was white as snow,
whose fleece was white as snow,
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Mary had a little lamb
whose fleece was white as snow,
whose fleece was white as snow,
11:52
and everywhere that Mary went,
the lamb was sure to go.
the lamb was sure to go.
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and everywhere that Mary went,
the lamb was sure to go.
the lamb was sure to go.
11:57
MR: And now, 137 years later,
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迈克尔·鲁宾斯坦：137年过去了，
12:01
we're able to get sound
in pretty much similar quality
in pretty much similar quality
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我们可以重构出同样质量的声音
12:05
but by just watching objects
vibrate to sound with cameras,
vibrate to sound with cameras,
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却是通过观察摄像机拍摄的物体振动实现的，
12:09
and we can even do that when the camera
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我们甚至可以把摄像机
12:11
is 15 feet away from the object,
behind soundproof glass.
behind soundproof glass.
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放到15英尺外隔音玻璃后边。
12:15
So this is the sound that we were
able to recover in that case.
able to recover in that case.
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这是我们在这种情况下还原的声音。
12:19
Voice: Mary had a little lamb
whose fleece was white as snow,
whose fleece was white as snow,
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声音：Mary had a little lamb
whose fleece was white as snow,
whose fleece was white as snow,
12:24
and everywhere that Mary went,
the lamb was sure to go.
the lamb was sure to go.
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and everywhere that Mary went,
the lamb was sure to go.
the lamb was sure to go.
12:29
MR: And of course, surveillance is
the first application that comes to mind.
the first application that comes to mind.
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迈克尔·鲁宾斯坦：当然，监控是我们想到的第一个应用。
12:33
(Laughter)
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（笑声）
12:36
But it might actually be useful
for other things as well.
for other things as well.
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但是它应该还有其他用处。
12:40
Maybe in the future, we'll be able
to use it, for example,
to use it, for example,
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可能，未来我们可以用它
12:42
to recover sound across space,
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太空中还原声音，
12:45
because sound can't travel
in space, but light can.
in space, but light can.
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因为声音不可以在太空中传播，但光可以。
12:48
We've only just begun exploring
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我们仅仅是刚刚开始探索
12:51
other possible uses
for this new technology.
for this new technology.
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这项新技术的可能用途。
12:54
It lets us see physical processes
that we know are there
that we know are there
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这让我们熟知的物理过程
12:57
but that we've never been able
to see with our own eyes until now.
to see with our own eyes until now.
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变得肉眼可见了。
13:00
This is our team.
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这是我们的团队。
13:01
Everything I showed you today
is a result of a collaboration
is a result of a collaboration
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今天我展示的一切
13:04
with this great group
of people you see here,
of people you see here,
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都是这群伟大的人的协作成果。
13:06
and I encourage you and welcome you
to check out our website,
to check out our website,
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我鼓励您，欢迎您访问我们的网站，
13:10
try it out yourself,
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亲身体验，
13:11
and join us in exploring
this world of tiny motions.
this world of tiny motions.
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加入我们，一同探索微小振动的世界。
13:14
Thank you.
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谢谢。
13:16
(Applause)
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（掌声）
ABOUT THE SPEAKER
Michael Rubinstein - Research scientist, GoogleComputer scientist Michael Rubinstein and his team have developed a "motion microscope" that can show video footage of barely perceivable movements, like breaths and heartbeats.
Why you should listen
Michael Rubinstein zooms in on what we can't see and mangnifies it by thirty or a hundred times. His "motion microscope," developed at MIT with Microsoft and Quanta Research, picks up on subtle motion and color changes in videos and blows them up for the naked eye to see. The result: fun, cool, creepy videos.
Rubinstein is a research scientist at a new Cambridge-based Google lab for computer vision research. He has a PhD in computer science and electrical engineering from MIT.
Michael Rubinstein | Speaker | TED.com