Augmented Motion History Volume for Spatiotemporal Editing of 3-D Video in Multiparty Interaction Scenes

Abstract

In this paper we present a novel method that performs spatiotemporal editing of 3D multi-party interaction scenes for free-viewpoint browsing, from separately captured data. The main idea is to first propose the augmented Motion History Volume (aMHV) for motion representation. Then by modeling the correlations between different aMHVs we can define a multi-party interaction dictionary, describing the spatiotemporal constraints for different types of multiparty interaction events. Finally, constraint satisfaction and global optimization methods are proposed to synthesize natural and continuous multi-party interaction scenes. Experiments with real data illustrate the effectiveness of our method.