Three-dimensional non-rigid body reconstruction method and system based on multiple depth maps

Abstract

The invention provides a three-dimensional non-rigid body reconstruction method based on multiple depth maps. The method comprises the following steps: performing multi-depth map photographing on a non-rigid body according to different angles and different postures so as to obtain multiple depth maps; converting each depth map into a group of three-dimensional point clouds, and acquiring multiple matching dotted pairs among the multiple groups of three-dimensional point clouds; performing position change on each matching point, and solving a conversion parameter corresponding to each matching point of which the position is changed; splicing all conversion parameters, and constructing an energy function according to the splicing result; and solving the energy function so as to reconstruct a three-dimensional non-rigid body model according to the solution result. According to the method, the required input information is simple and is easily acquired, and a high-precision complete three-dimensional model can be obtained. The method is accurate and robust in solution, the influence brought by the accumulating is eliminated, and the method is high in operating speed and has wide application prospect. The invention also provides a three-dimensional non-rigid body reconstruction system based on multiple depth maps.

Description

technical field [0001] The invention relates to the technical field of computer vision, in particular to a non-rigid three-dimensional reconstruction method and system based on multi-depth images. Background technique [0002] 3D reconstruction is an important problem in the field of computer vision. High-quality 3D models have important application value in various fields such as film and television entertainment, cultural relics protection, and mechanical processing. However, the acquisition of high-quality 3D models is usually achieved by expensive laser scanners. Although the accuracy is guaranteed, there are also two disadvantages: First, the laser scanner requires the object to be scanned to be absolutely still during the scanning process. It will lead to obvious errors in the scanning results; second, laser scanners are expensive, and it is difficult to popularize them to expand their civilian value. Contents of the invention [0003] The present invention aims to...

AI Technical Summary

Problems solved by technology

However, the acquisition of high-quality 3D models is usually achieved by expensive laser scanners. Although the accuracy is guaranteed, there are also two disadvantages: First, the laser scanner requires the object to be scanned to be absolutely still during the scanning process. It will lead to obvious errors in the scanning results; second, laser scanners are expensive and difficult to popularize to expand civilian value

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