3D Reconstruction of Specific Target Based on Kinectfusion

Abstract

A new 3D reconstruction method of specific target which is mixed in complex scene is proposed by making full use of the point cloud model acquired by KinectFusion and other point cloud processing algorithm. The target needed to be reconstructed can be obtained by using point cloud segmentation based on RANSAC and Euclidean cluster extraction as well as using surface reconstruction based on concave hull. The purpose of segmentation is to break the point cloud down into distinct clusters which can then be processed independently. The surface reconstruction is to generate a surface of the target that is extracted by segmentation. Experimental results show that the method in this paper has an outstanding performance in 3D reconstruction of the specific target.