Monocular 3D Fluid Volume Reconstruction Based on a Multilayer External Force Guiding Model

Abstract

In this paper, we present a monocular 3D fluid volume reconstruction technique that can alleviate challenging parameter tuning while vividly reproducing the inflow and outflow of the video scene. To reconstruct the geometric appearance and 3D motion of the fluid in the video, we propose a multilayer external force guiding model that formulates the effect of target particles on fluid particles. This multilayer model makes the whole 3D fluid volume subject to the shape and motion of the water captured by the input video, so we can avoid tedious and laborious parameter tuning and easily balance the smoothness of the fluid volume and the details of the water surface. Besides, for the inflow and outflow of the 3D fluid volume, we construct a generation and extinction model to add or delete fluid particles according to the 3D velocity field of target particles calculated by a hybrid model of coupling SfS with optical flow. Experiments show that our method compares favorably to the state-of-the-art in terms of reconstruction quality, and is more general to the real-captured fluid. Furthermore, the reconstructed 3D fluid volume can be effectively applied to any desired new scenario.