ABOUT THE SPEAKER
Stephen Lawler - General manager of Microsoft's Virtual Earth
Stephen Lawler and the Virtual Earth team have created an addictively interactive 3D world that is poised to reinvent our view of advertising, gaming, weather/traffic reporting, instant messaging and more.

Why you should listen

Microsoft's Stephen Lawler offers a tour of Virtual Earth that not only reveals the power and potential of the software itself, but also gives a global glimpse of the new virtual frontier of digital globes, the 3D Web and the metaverse.

Lawler also explores the enormous effort it takes to create the fluid blending and shifting between the multiple views and resolutions of Virtual Earth. From the satellites and airplanes that gather photo data for a top-down view to the ground vehicles and headgear-wearing pedestrians who canvas the ground for an eye-level perspective -- all of it represents a monumental effort of logistics and mechanics.

More profile about the speaker
Stephen Lawler | Speaker | TED.com
TED2007

Stephen Lawler: Tour Microsoft's Virtual Earth

Stephen Lawler帶你體會微軟的虛擬地球

Filmed:
338,924 views

微軟的Stephen Lawler帶我們進行了一次旋風式的虛擬地球(Virtual Earth)之旅.通過上升,下移的視覺人們可以很流暢的體驗超逼真的城市景觀.這種超級的視覺饗宴是巨量的資料轉化後呈現出來的結果
- General manager of Microsoft's Virtual Earth
Stephen Lawler and the Virtual Earth team have created an addictively interactive 3D world that is poised to reinvent our view of advertising, gaming, weather/traffic reporting, instant messaging and more. Full bio

Double-click the English transcript below to play the video.

00:25
What I want to talk to you about today今天 is
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今天我想要跟大家介紹
00:28
virtual虛擬 worlds世界, digital數字 globes地球儀, the 3-D-D Web捲筒紙, the Metaverse虛擬實境.
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虛擬世界,也有人稱為數位地球,三維網路或是網路虛擬世界.
00:37
What does this all mean for us?
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虛擬世界到底會對我們有甚麼影響?
00:39
What it means手段 is the Web捲筒紙 is going to become成為 an exciting扣人心弦 place地點 again.
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它代表的意義是網路將將再度成為讓人心動的空間.
00:44
It's going to become成為 super exciting扣人心弦 as we transform轉變
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當我們化身進入這個以圖像,高計算能力和低延遲
00:47
to this highly高度 immersive身臨其境 and interactive互動 world世界.
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所構成的深入及高互動數位世界
00:51
With graphics圖像, computing計算 power功率, low latencies潛伏期,
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一切都會變成超high的
00:54
these types類型 of applications應用 and possibilities可能性
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這類型的應用及潛在發展
00:57
are going to stream rich豐富 data數據 into your lives生活.
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將把豐富的資料源源不斷的帶入人類的生活世界
01:02
So the Virtual虛擬 Earth地球 initiative倡議, and other types類型 of these initiatives倡議,
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所以,虛擬地球及其他這種類型的倡議
01:07
are all about extending擴展 our current當前 search搜索 metaphor隱喻.
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都和擴展我們目前資料搜尋方法有關.
01:13
When you think about it, we're so constrained受限 by browsing瀏覽 the Web捲筒紙,
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回想一下,我們目前在流覽網路時所受的限制吧.
01:16
remembering記憶 URLs網址, saving保存 favorites最愛.
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我們必須記住網址,保存到"我的最愛".
01:19
As we move移動 to search搜索, we rely依靠 on the relevance關聯 rankings排名,
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當開始進行搜索,我們必須依賴相關性排名,
01:22
the Web捲筒紙 matching匹配, the index指數 crawling爬行.
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網路匹配和索引檢索等方式找資料.¥
01:25
But we want to use our brain!
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但我們希望用我們的大腦來找資料!
01:27
We want to navigate導航, explore探索, discover發現 information信息.
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我們希望穿梭在網路世界中,自主的探索和發現資訊.
01:30
In order訂購 to do that, we have to put you as a user用戶 back in the driver's司機 seat座位.
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為了達成這個目的,我們必須把使用者放在主導搜尋方向的位置上.
01:35
We need cooperation合作 between之間 you and the computing計算 network網絡 and the computer電腦.
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我們需要在人與網路和電腦之間建立一個合作空間.
01:39
So what better way to put you back in the driver's司機 seat座位
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就把使用者放在主導搜尋方向的位置上而言, 有什麼方法會比
01:43
than to put you in the real真實 world世界 that you interact相互作用 in every一切 day?
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把人放在每天都在互動的真實世界裏還要好呢?♫
01:46
Why not leverage槓桿作用 the learnings學習收穫 that you've been learning學習 your entire整個 life?
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為什麼不直接利用你過去生活中學過的知識呢?
01:50
So Virtual虛擬 Earth地球 is about starting開始 off
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所以,一開始虛擬地球就是要
01:53
creating創建 the first digital數字 representation表示, comprehensive全面, of the entire整個 world世界.
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第一個將整個地球以數位方式,深入且全面性的呈現出來
01:58
What we want to do is mix混合 in all types類型 of data數據.
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我們將混合所有類型的資料.
02:01
Tag標籤 it. Attribute屬性 it. Metadata元數據. Get the community社區 to add local本地 depth深度,
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給它做上標記,加上屬性和元資料. 接觸網路社群並加上本地內容
02:06
global全球 perspective透視, local本地 knowledge知識.
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-- 也就是以全球的視野整合在地的知識.
02:09
So when you think about this problem問題,
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那麼,當你體會到要解決這個問題
02:11
what an enormous巨大 undertaking承諾. Where do you begin開始?
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須要進行許多工作. 你會由哪兒著手做呢?
02:15
Well, we collect蒐集 data數據 from satellites衛星, from airplanes飛機,
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我們通過衛星,飛機
02:19
from ground地面 vehicles汽車, from people.
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從地面車輛及人群中收集資料
02:22
This process處理 is an engineering工程 problem問題,
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整個過程涉及工程.
02:27
a mechanical機械 problem問題, a logistical後勤 problem問題, an operational操作 problem問題.
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機械,邏輯問題和如何營運等問題.
02:31
Here is an example of our aerial天線 camera相機.
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用圖片中空照攝影機當作例子.
02:33
This is panchromatic全色. It's actually其實 four color顏色 cones.
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這是一個全色相機, 它具有四個彩色錐體.
02:36
In addition加成, it's multi-spectral多光譜.
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另外, 它是多光譜的.
02:38
We collect蒐集 four gigabits吉比特 per second第二 of data數據,
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我們每秒種可以採集到4GB的資料,
02:42
if you can imagine想像 that kind of data數據 stream coming未來 down.
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如何想像這樣傳輸下來的資料流有多大,
02:44
That's equivalent當量 to a constellation星座 of 12 satellites衛星 at highest最高 res水庫 capacity容量.
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那相當於12個衛星組成的星座以最高解析度所拍攝的資料量.
02:50
We fly these airplanes飛機 at 5,000 feet in the air空氣.
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我們駕駛這些飛機到5000英尺的高空;
02:54
You can see the camera相機 on the front面前. We collect蒐集 multiple viewpoints觀點,
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你可以看到放置在前端的攝影機. 我們在不同的視點,
02:57
vantage華帝 points, angles, textures紋理. We bring帶來 all that data數據 back in.
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有利位置, 角度, 結構收集資料. 然後把資料帶回來.
03:03
We sit here -- you know, think about the ground地面 vehicles汽車, the human人的 scale規模 --
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所以現在我們可以坐在這兒親眼觀看 地面車輛和人的比例.
03:07
what do you see in person? We need to capture捕獲 that up close
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你親眼看到了甚麼? 我們需要近距離捕捉影像
03:09
to establish建立 that what it's like-type像型 experience經驗.
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來建立更逼真的體驗.
03:13
I bet賭注 many許多 of you have seen看到 the Apple蘋果 commercials廣告,
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我想你們大多數人都看過Apple商業展廣告吧,
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kind of poking at the PC個人計算機 for their brilliance and simplicity簡單.
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它以嘲笑PC電腦的方式凸顯自己產品的的簡潔和光輝.♪
03:23
So a little unknown未知 secret秘密 is --
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那麼, 有一個不為人知秘密是 --
03:25
did you see the one with the guy, he's got the Web捲筒紙 cam凸輪?
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你有沒有看到一個帶著網路攝影機的傢伙?
03:29
The poor較差的 PC個人計算機 guy. They're duct taping錄音 his head. They're just wrapping包皮 it on him.
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那個可憐的PC傢伙, 他們把管子直接用膠帶黏在他頭上, 他們把他包裝成那樣兒.
03:33
Well, a little unknown未知 secret秘密 is his brother哥哥 actually其實 works作品 on the Virtual虛擬 Earth地球 team球隊.
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但, 鮮為人知的秘密是,他的哥哥其實在虛擬地球研發團隊工作.
03:37
(Laughter笑聲). So they've他們已經 got a little bit of a sibling兄弟 rivalry對抗 thing going on here.
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(笑聲) 所以那裏呈現一些兄弟之間相互抗衡的情形.
03:42
But let me tell you -- it doesn't affect影響 his day job工作.
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但我告訴你 -- 這沒有影響他每天的工作.
03:44
We think a lot of good can come from this technology技術.
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我們認為這個科技可以帶來很多的好處.
03:47
This was after Katrina卡特里娜. We were the first commercial廣告 fleet艦隊 of airplanes飛機
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這是在Katrina颶風之後. 我們當時是進入災區的
03:51
to be cleared清除 into the disaster災害 impact碰撞 zone.
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第一個商業飛機團隊
03:54
We flew the area. We imaged成像 it. We sent發送 in people. We took pictures圖片 of interiors內飾,
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我們飛到那個區域,拍下照片, 傳送給大家.
03:59
disaster災害 areas. We helped幫助 with the first responders反應, the search搜索 and rescue拯救.
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我們深入災區拍攝圖片. 我們幫助緊急救生, 搜索和營救等團隊.
04:03
Often經常 the first time anyone任何人 saw what happened發生 to their house was on Virtual虛擬 Earth地球.
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許多災區的民眾是藉由虛擬地球的影像首次看到他們房屋當時的情況.
04:08
We made製作 it all freely自如 available可得到 on the Web捲筒紙, just to --
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我們經由網路把這些影像免費提供給所有人, 因為
04:10
it was obviously明顯 our chance機會 of helping幫助 out with the cause原因.
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這顯然是我們可以為災區人們提供幫助的機會.♫
04:14
When we think about how all this comes together一起,
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當我們思考如何將這些資料組合在一起.
04:17
it's all about software軟件, algorithms算法 and math數學.
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面對的全是關於電腦軟體, 演算法和數學問題.
04:21
You know, we capture捕獲 this imagery意象 but to build建立 the 3-D-D models楷模
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我們已經擷取圖像了,但是為了構建三維模型,
04:24
we need to do geo-positioning地理定位. We need to do geo-registering地理登記 of the images圖片.
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我們還需要做地理定位. 我們需要在圖片上作地理標記.
04:29
We have to bundle adjust調整 them. Find tie領帶 points.
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我們必須收集調整他們. 找到聯結點.♪
04:31
Extract提取 geometry幾何 from the images圖片.
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在圖像中萃取出幾何關係. .
04:34
This process處理 is a very calculated計算 process處理.
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整個過程需要許多計算的程序
04:38
In fact事實, it was always doneDONE manual手冊.
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實際上,這些計算在過去是用人工自己去計算的¼
04:39
Hollywood好萊塢 would spend millions百萬 of dollars美元 to do a small urban城市的 corridor走廊
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好萊塢為了它的電影必須花數百萬美金去將一個小市區走廊圖像數位化
04:43
for a movie電影 because they'd他們會 have to do it manually手動.
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這是因為他們必須用人工逐步計算.
04:46
They'd他們會 drive駕駛 the streets街道 with lasers激光器 called LIDARLIDAR.
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他們在車輛上裝置雷射掃描探測儀(lLIDAR)到街道掃描.
04:48
They'd他們會 collected information信息 with photos相片. They'd他們會 manually手動 build建立 each building建造.
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他們收集圖片資訊; 他們以人工處理每個大樓的數位化.
04:52
We do this all through通過 software軟件, algorithms算法 and math數學 --
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而我們則將這些工作交給電腦軟體, 演算法和數學處理.
04:54
a highly高度 automated自動化 pipeline管道 creating創建 these cities城市.
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所以我們是用一個自動化的生產管道來建造這些城市.
04:57
We took a decimal十進制 point off what it cost成本 to build建立 these cities城市,
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所以我們建造這些虛擬城市的費用只要十分之一
05:00
and that's how we're going to be able能夠 to scale規模 this out and make this reality現實 a dream夢想.
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這就是我們為什麼能把規模做大,並且將現實轉化成虛擬.
05:04
We think about the user用戶 interface接口.
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我們也考慮到使用者介面.
05:06
What does it mean to look at it from multiple perspectives觀點?
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採用多視角意味著什麼?
05:09
An ortho-view鄰視圖, a nadir-view最低點視圖. How do you keep the precision精確 of the fidelity保真度 of the imagery意象
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一個鳥瞰視角, 一個垂直俯視. 你要如何在必須保持圖像的精度的
05:14
while maintaining維持 the fluidity流動性 of the model模型?
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同時 也保持模型的流暢性?
05:18
I'll wrap up by showing展示 you the --
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最後我想展示給各位看的是 --
05:20
this is a brand-new全新的 peek窺視 I haven't沒有 really shown顯示 into the lab實驗室 area of Virtual虛擬 Earth地球.
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這是個全新的俯視圖 我還沒有放入虛擬地球的實驗室區域.
05:24
What we're doing is -- people like this a lot,
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我們要做的是 -- 人們喜歡這個
05:27
this bird's鳥類 eye imagery意象 we work with. It's this high resolution解析度 data數據.
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我們現在要處理的鳥瞰圖是高解析度的資料.
05:30
But what we've我們已經 found發現 is they like the fluidity流動性 of the 3-D-D model模型.
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你們可以看到他們在運作時仍能維持三維模型的流暢度.
05:34
A child兒童 can navigate導航 with an Xbox的Xbox controller調節器 or a game遊戲 controller調節器.
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孩子們可以使用Xbox或遊戲機去探索.
05:38
So here what we're trying to do is we bring帶來 the picture圖片 and project項目 it into the 3-D-D model模型 space空間.
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這裏,我們正嘗試將圖片映射到三維模型空間中.
05:43
You can see all types類型 of resolution解析度. From here, I can slowly慢慢地 pan the image圖片 over.
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你可以用不同的解析度觀看. 從這裏,我可以慢慢平移圖像.
05:49
I can get the next下一個 image圖片. I can blend混合 and transition過渡.
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我可以看到下一張圖片,我可以混合及轉換
05:52
By doing this I don't lose失去 the original原版的 detail詳情. In fact事實, I might威力 be recording記錄 history歷史.
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做這些操作時,我不會損失任何細節. 實際上,我有可能在記錄歷史.
05:57
The freshness新鮮, the capacity容量. I can turn this image圖片.
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新奇,能力. 我可以轉動這個圖像.
06:00
I can look at it from multiple viewpoints觀點 and angles.
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由多視點和多角度來觀查看這圖.
06:03
What we're trying to do is build建立 a virtual虛擬 world世界.
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我們企圖打造一個虛擬世界.
06:06
We hope希望 that we can make computing計算 a user用戶 model模型 you're familiar with,
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我們希望用一個一般人熟悉的使用者模型.
06:11
and really derive派生 insights見解 from you, from all different不同 directions方向.
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就可以從你的角度,從所有不同的方向流覽.
06:15
I thank you very much for your time.
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謝謝大家花這麼多時間聽講.
06:17
(Applause掌聲)
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掌聲
Translated by 張新永 Davidchang
Reviewed by HUI YU

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ABOUT THE SPEAKER
Stephen Lawler - General manager of Microsoft's Virtual Earth
Stephen Lawler and the Virtual Earth team have created an addictively interactive 3D world that is poised to reinvent our view of advertising, gaming, weather/traffic reporting, instant messaging and more.

Why you should listen

Microsoft's Stephen Lawler offers a tour of Virtual Earth that not only reveals the power and potential of the software itself, but also gives a global glimpse of the new virtual frontier of digital globes, the 3D Web and the metaverse.

Lawler also explores the enormous effort it takes to create the fluid blending and shifting between the multiple views and resolutions of Virtual Earth. From the satellites and airplanes that gather photo data for a top-down view to the ground vehicles and headgear-wearing pedestrians who canvas the ground for an eye-level perspective -- all of it represents a monumental effort of logistics and mechanics.

More profile about the speaker
Stephen Lawler | Speaker | TED.com