GPU Based Fast 3D-Object Modeling with Kinect
基于GPU和Kinect的快速物体重建

The cost-effective 3D-object modeling is a topic in computer vision field that is full of significance. In this paper, we report a method for object modeling with Kinect, as well as its implementation on graphic processing unit (GPU). Our modeling solution is divided into two steps: one is the system calibration, and the other is the fast 3D-object modeling. We present a easy-to-use calibration method for the first step, and a fully automatic modeling method for the other. Besides, our method is robust to registration of point clouds. For the well-known loop closure problem, we present a global registration method. Our method is validated by the modeling of several difficult real-world objects. In addition, the modeling of the objects with occlusion is also investigated and satisfactory results are obtained.