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KinectFusion——微软基于KINECT的实时三维重建项目(KINECT)

發(fā)布時間:2025/6/17 编程问答 19 豆豆
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  微軟正在進行一個名為KinectFusion的項目。目標是利用一臺圍繞物體移動的kinect實時重建物體的三維模型。(是不是可以理解為Kinect版本的SLAM?)不同于的簡單的三維點云的拼接,該項目的另外的吸引人的特性在于:如果對物體進行持續(xù)的掃描,三維重建精度可以由粗到細的逐漸提高。(類似superresolution?)演示視頻(必看!!!)很給力。

(用這個東西做AR絕對給力啊)

  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
S. Izadi, D. Kim,?O. Hilliges, D. Molyneaux, R. Newcombe, P. Kohli, J. Shotton, S. Hodges, D. Freeman, A. Davison, A. Fitzgibbon“KinectFusion: Real-time 3D Reconstruction and Interaction Using a Moving Depth Camera

To appear in Proceedings?ACM User Interface and Software Technologies?(ACM UIST)

Santa Barbara, CA, USA, Oct 2011

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項目主頁:http://research.microsoft.com/en-us/projects/surfacerecon/

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轉(zhuǎn)自http://www.cvchina.info/

轉(zhuǎn)載于:https://www.cnblogs.com/CVArt/archive/2011/10/19/2217520.html

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