微软正在进行一个名为KinectFusion的项目。目标是利用一台围绕物体移动的kinect实时重建物体的三维模型。（是不是可以理解为Kinect版本的SLAM？）不同于的简单的三维点云的拼接，该项目的另外的吸引人的特性在于：如果对物体进行持续的扫描，三维重建精度可以由粗到细的逐渐提高。（类似superresolution？）演示视频（必看！！！）很给力。
（用这个东西做AR绝对给力啊）
We present KinectFusion, a system that takes live depth data from a moving Kinect camera and in real-time creates high-quality, geometrically accurate, 3D models. Our system allows a user holding a Kinect camera to move quickly within any indoor space, and rapidly scan and create a fused 3D model of the whole room and its contents within seconds. Even small motions, caused for example by camera shake, lead to new viewpoints of the scene and thus refinements of the 3D model, similar to the effect of image superresolution. As the camera is moved closer to objects in the scene more detail can be added to the acquired 3D model.
To achieve this, our system continually tracks the 6DOF pose of the camera and rapidly builds a representation of the geometry of arbitrary surfaces. Novel GPU-based implementations for both camera tracking and surface reconstruction allow us to run at interactive real-time rates that have not previously been demonstrated. We define new instantiations of two well known graphics algorithms designed specifically for parallelizable GPGPU hardware.
| KinectFusion: | |
| Shahram Izadi, Richard Newcombe, David Kim, Otmar Hilliges, David Molyneaux, Steve Hodges, Pushmeet Kohli, Jamie Shotton, Andrew Davison, Andrew Fitzgibbon
“KinectFusion: Real-Time Dynamic 3D Surface Reconstruction and Interaction” ACM SIGGRAPH 2011 Talk To appear in Proceedings ACM User Interface and Software Technologies (ACM UIST) Santa Barbara, CA, USA, Oct 2011
项目主页：http://research.microsoft.com/en-us/projects/surfacerecon/
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