Weighted regularized laplacian interpolation for consolidation of highly-incomplete time varying point clouds

Abstract

Recently, there has been increasing interest in real-time processing of time varying point clouds (TVPCs) ideally suited for real time applications such as immersive tele-presence systems and gaming. Although the resolution and accuracy of the modern 3D scanners are constantly improving, the captured 3D point clouds are usually highly incomplete, stressing the need of completion approaches with low computational requirements. In this paper, we introduce a novel regularized Laplacian interpolation approach for a fast and effective consolidation of a TVPC. Extensive evaluation studies, carried out using a collection of different incomplete TVPCs, verify that the proposed technique achieves plausible reconstruction output despite the constraints posed by arbitrarily complex and motion scenarios.