Time Varying Volumetric Scene Reconstruction Using Scene Flow

Traditional volumetric scene reconstruction algorithms involve the evaluation of many millions of voxels which is highly time consuming. This paper presents an efficient algorithm based of future frame prediction that can dramatically reduce the number of voxels to be evaluated in time varying scenes. The new prediction method, combining scene flow and morphological dilations, is evaluated against a simple model dilation method. Results show the proposed method outperforms a simple dilation method and has the potential to improve the efficiency of volumetric scene reconstruction algorithms while retaining quality given accurate optical flows.