Three-dimensional registering method for single image

Abstract

The invention relates to a three-dimensional registering method for a single image, and the method comprises three steps: camera calibration, interactive modeling and camera registration. The step of camera calibration comprises the substeps: extracting rough-resolution blanking points through employing a grid method, purifying the rough-resolution blanking points through combining with PClines spatial conversion and an alignment linear point detection algorithm, obtaining candidate blanking points, carrying out the optimization and updating of the candidate blanking points to obtain typical blanking points, taking the typical blanking points as the camera calibration features to build a Manhattan world model, carrying out the analysis of the typical blanking points, and obtaining the internal and external parameters of a camera, wherein the internal and external parameters comprises a focal length and a rotation matrix. The step of camera registration is mainly using a method based on the linear feature alignment to carry out the registering of a three-dimensional model and register the three-dimensional model in a unified three-dimensional scene. The method can iron out the defects that the number of accumulative errors of the three-dimensional registration technology of the single image based on the geometric projection information is larger, and obtain a more accurate three-dimensional reconstruction effect.

Description

technical field [0001] The invention relates to a three-dimensional registration method of a single image, in particular to a three-dimensional registration method of a single image based on geometric projection information and using a vanishing point as a feature for camera calibration. Background technique [0002] 3D reconstruction is to restore 3D spatial information by using the basic information in 2D images, that is, it is necessary to study the relationship between the 2D coordinates of points, lines, and surfaces in 2D images and the corresponding points, lines, and surfaces in 3D space. Matching relationship, so as to carry out quantitative registration analysis on the size and position relationship of spatial objects. Due to the advantages of simple process, fast speed, low investment and high efficiency, more and more people pay more and more attention to 3D reconstruction and registration with a single image. The existing single image registration methods can b...

AI Technical Summary

Problems solved by technology

[0007] The registration method based on the shape restoration technology requires a lot of light and grayscale, and needs to preprocess the image’s luminosity and grayscale, and the image resolution and foreground and background grayscale differences will affect the registration effect, and this item If there are no other constraints, the technology cannot achieve unique matching and reconstruction for curved surface objects such as convex and concave surfaces.

[0008] The single-image 3D registration technology based on geometric projection information achieves ideal results for target images with geometric structures, but the accumulation of measurement errors is large

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