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创造3D动画从正规兵第2个图象长期是被认为的不可能的由研究员从三十年前。 描述对象几何到计算机那时是没有容易的任务。 研究计算机比我们的当前家庭计算机非常慢。
但时间现在是不同的。 研究员在 卡内基-梅隆大学 宣布他们发现了一个方式帮助计算机自动地学会第2个图象的几何学上下文。 不仅我们能引起3D场面从a 唯一 第2个图象，技术可能也用于与小配件和机器人更好领会什么他们的“眼睛”看见。
变革通过教计算机察觉视觉暗示在室外场面完成区分水平和垂直的表面。 例如，天空总是蓝色，并且汽车可能基于平的地面。 从如下录影，技术看真正地有为。
多远您认为我们是，从年龄，机器人漫游街道并且表现象大家我们？
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[…] Computers can soon turn 2D Images into 3D: Technology that helps computers make the leap from 2D to 3D on their own… […]
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[…] 2D into 3D images Software is getting better at making 3D images out of 2D. I’d seen a variation of this a few years ago out of Stanford, and MS has been doing research along these lines. Be interesting to take all of those museum paintings of architecture and see how they turn out in 3D. (Or take pictures of our new building and see if the software comes even close) […]
June 17th, 2006 at 12:16 am
Beyond insane… That’s a MASSIVE leap in graphics technology. It’s so limitless. Give ten years and this programming will be worth millions.
June 18th, 2006 at 3:54 pm
them 3d models are shit compaird to some of the job done manualy, Computers will be very advanced , but still need things to be done manualy ,
June 18th, 2006 at 4:02 pm
coming to a video game near you in the not to near future. the capabilities is endless..lovely
June 18th, 2006 at 7:21 pm
This would’ve required some clever matrix trasformations to be applied. Yet, I’d still prefer to do the work manually. Some of those images look rather flat.
June 19th, 2006 at 2:37 am
You guys are idiots. This technology isnt really that important for videogames or 3d-animation, but for robots navigating. With this technology a robot helicopter or land vehicle could navigate down a crowded city street using traditional video camera’s to see where its going.
This is the future of input for robotics.
June 19th, 2006 at 5:21 am
Well, application in video games and other mediums is feasible. While manual work is still required, this could start out as a great blueprint for graphical applications. Imagine, for instance, a stadium in a sports game, starting out with the simple 2-D image, then transformed into 3-D. All the programmers would have to do is add some more texturing on top and clean up some of the imagery, and you could have a rather accurate field to play in. The possibilities are limitless!
June 19th, 2006 at 9:54 am
If you have 2 cameras you can easily do stereographic imaging with photogrammetry. Probably they will use this technology for that?
June 19th, 2006 at 11:32 am
Or a multiplayer game, connected to the users webcam that takes a few snapshots of the room you’re playing in… players could visit each other, whooping each others asses in their living rooms
June 19th, 2006 at 12:28 pm
Come on guys, firstly this technology would be in an early state of development, yes they have a long way to go if it was to be used in 3d gaming and annimation and all that. However what the technology is desgned for, this is one hell of a leap forward. I was rather impressed.
June 21st, 2006 at 9:39 am
As mentioned, this isn’t really anything new. Such technologies have been around for QUITE some time now. Practical usage in games would be almost nil.
Since game developement entrails OPTIMIZATION of 3D and not just a splattering of a complex mesh, the results attained manually would be nowhere near what can be accomplished with multiple perspective references and a modeler with a good knack for minimalistic poly-flow. Additionally the textures seem to be procedurally generated on the fly, giving distance objects a very blurred setup. I’m not quite sure quite why they didn’t go with a vertex coloring scheme to speed up the process and more easily interpret depth.
As you might have also noticed, it’s not a FULL 3D image either. Merely what the photograph can show. If you tilt the camera around to the backside of any such images, you’d have an empty shell of an already complex high-triangle mesh.
The usages for this have been stated as well. Primarily robotic input interpretation. The only problem is that such technologies “usually” (or at least have in the past) taken extensive time to render. A robotic input “eye” would need to update something like at a least a fair rate — even faster if movement was involved or you needed accuracy beyond 2-4 SPF (seconds per frame).