REAL-TIME MULTI-VIEW VOLUMETRIC RECONSTRUCTION OF DYNAMIC SCENES USING KINECT V2

Abstract

A key challenge when displaying and processing sensed real-time 3D data is efficiency of generating and post-processing algorithms in order to acquire high quality 3D content. In contrast, our approach focuses on volumetric generation and processing volumetric data using an efficient low-cost hardware setting. Acquisition of volumetric data is performed by connecting several Kinect v2 scanners to a single PC that are subsequently calibrated using planar pattern. This process is by no means trivial and requires well designed algorithms for fast processing and quick rendering of volumetric data. This can be achieved by fusing efficient filtering methods such as Weighted median filter (WM), Radius outlier removal (ROR) and Laplace-based smoothing algorithm. In this context, we demonstrate the robustness and efficiency of our technique by sensing several scenes.