Three-dimensional reconstruction method and system capable of maintaining sharp features

Abstract

The present invention discloses a three-dimensional reconstruction method and system capable of maintaining sharp features. The method includes the following steps that: 1) a two-dimensional image filtering method extended to a three-dimensional space is adopted to perform smoothing de-noising on inputted roughly-registered point cloud; 2) an improved region growth method is adopted to perform outlier removal on the smoothed roughly-registered point cloud; 3) a kd-tree (k-dimensional tree) acceleration-based ICP (iterative closest point) algorithm is adopted to perform precise registration on the outlier-removed roughly-registered point cloud; 4) a neighborhood search and boundary point detection-based fusion method is adopted to fuse the precisely-registered point cloud; and 5) a feature point detection and adaptive step size update-based method is adopted to perform surface reconstruction on the fused precisely-registered point cloud. The three-dimensional reconstruction system is composed of a point cloud preprocessing module, a point cloud combining module and a surface reconstruction module. The three-dimensional reconstruction system which is realized based on the method of the invention can maintain the sharp features of the edge of a reconstructed model, and therefore, reconstruction speed is considered with accuracy ensured.

Description

technical field [0001] The invention belongs to the fields of computer graphics, computer vision, reverse engineering and computer-aided geometric design, and specifically relates to a three-dimensional reconstruction method and system for maintaining sharp features. Background technique [0002] Three-dimensional reconstruction technology refers to the technology of establishing a suitable mathematical representation and processing model for an object on a computer, and objectively reproducing a real object in a computer. [0003] According to the differences in the acquisition methods of 3D point cloud data, 3D reconstruction techniques can be roughly divided into the following two types: 3D reconstruction based on multiple images and 3D reconstruction based on point cloud data with depth information. 3D reconstruction based on multiple images collects images through the camera to obtain sequence images of different angles of the object to be reconstructed, estimates the p...

AI Technical Summary

Problems solved by technology

[0006] The purpose of the embodiments of the present invention is to provide a three-dimensional reconstruction method and system for maintaining sharp features, aiming at solving the problems in the existing three-dimensional reconstruction methods that the sharp features near the edge cannot be fully maintained, the reconstruction time needs to be increased, and the robustness is not strong. The specific technical scheme is as follows

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