Study on three dimensions body reconstruction and measurement by using kinect

Abstract

A point cloud is a set of data points in some coordinate system. Point clouds may be created by Three Dimensions scanners. These devices measure in an automatic way a large number of points on the surface of an object, and often output a point cloud as a data file. The point cloud represents the set of points that the device has measured. Using Microsoft Kinect to obtain the depth body data and get the depth image. In this paper, the function and the depth scanning principle of the Microsoft Kinect has been researched. The concept of Point cloud has been also introduced. Point cloud data processing has been proposed in the paper. First, the depth data obtained by Kinect are transformed into the form of Three Dimensions point cloud to store and visualize. And then, make rejections, filtering, and simplification for point cloud. Finally In the process of simplification, we take the advantage of the minimum distance method and the angular deviation method, an improved self-adapting method of simplification was introduced in the paper. © 2014 Springer International Publishing Switzerland.