A Dynamic Water Surface Reconstruction Method Based on Sampling Data

Abstract

The invention relates to a sample data-based dynamic water surface reestablishing method, and belongs to the technical field of virtual reality. The reestablishing method comprises the following steps: (1) establishing a multi-camera dynamic water surface data collection device, calibrating cameras, and collecting movement scene images of the dynamic water surface which is required to be reestablished; (2) extracting angle points from the images, determining the mapping relation between each angle point of the images and a water bottom point, and interpolating to obtain a pixel-to-pixel mapping relation; (3) grouping a plurality of cameras in pairs, reestablishing a water surface height field by adopting a voxel subdivision rejection method by each group of cameras based on water surface refractive properties; (4) performing weight fusion among a plurality of groups of water surface height fields at the same moment so as to reduce the reestablishing errors caused by image noises of different cameras; (5) further applying the result obtained by the fusion of a plurality of groups of water surface height fields to drive a physics-based shallow water equation simulation process to generate a reestablishing result height field which has real data support and abundant detail effects.

Description

technical field [0001] The invention belongs to the technical field of computer virtual reality, and in particular relates to a dynamic water surface reconstruction method based on sampling data. Background technique [0002] In the fields of computer graphics and vision, people have been trying to use computers to reproduce the real world around them. Liquid, especially water, as a basic natural element, is a common substance in real life. Modeling in the computer to generate a realistic liquid model has high application value in film special effects, game entertainment, simulation training, disaster rehearsal, etc. [0003] The study of fluid simulation based on physics has always been a hot spot in computer graphics. This type of method is based on Computational Fluid Dynamics (CFD), and solves the physical equations describing fluid motion through computer numerical solutions to obtain the motion state of the fluid at each moment. After 20 to 30 years of development, ...

AI Technical Summary

Problems solved by technology

However, the liquid is a non-Lambertian body, and the light will have high light reflection and refraction on the surface, and the liquid itself becomes violent from time to time, so the reconstruction of the liquid is a very challenging task.

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