3D Object Reconstruction Using XBOX Kinect V2.0

Abstract: Three dimensional image processing and analysis, particularly, the imaging and reconstruction of an environment in three dimensions  has received significant attention, interest and concern  during the recent years. In the light of this background, this research study intends to provide an efficient way to reconstruct an irregular surfaced object, for example "the sole of a shoe", with good precision at a low cost using XBOX Kinect V2.0 sensor. Three dimensional reconstruction can be achieved either by using active or passive methods. Active methods make use of light source such as lasers or infra-red emitters for scanning a given environment and measuring the depth, to create a depth map. In contrast, in passive methods, colour images of the environment in different perspectives are used to create a three dimensional model of the environment. In this study, an active method using a set of depth maps of the object of interest is implemented, where the object of interest is represented by a sole of a shoe. Firstly, a set of depth maps of the object of interest are acquired in different perspectives. The acquired depth maps are first pre-processed for removing any outliers in the data acquired and are then enhanced. Enhanced depth maps are converted into 3D point clouds using the intrinsic parameters of the Kinect sensor. These obtained point clouds are subsequently registered into a single position using the Iterative Closest Point(ICP) algorithm. Aligned point clouds of the object of interest are then merged to form a single dense point cloud of the object of interest. Analysis of the generated single dense point cloud has shown that accurate 3D reconstruction of the real object of the interest has been achieved.