Method for three-dimensional reconstruction of straight-line optical flow field based on intelligent optimization algorithm

Abstract

The invention relates to a method for the three-dimensional reconstruction of a straight-line optical flow field based on an intelligent optimization algorithm, which is characterized by comprising the following steps of: shooting at least three continuous frames of images of an object in a scene by a fixed camera to form an image sequence, extracting the straight-line profile of the object in the scene and taking a straight line as a characteristic; under a perspective projection model, eliciting a relationship between the motion parameter of the straight-line profile of a moving rigid object in a 3D space and a two-dimensional straight-line optical field on a projection image of the moving rigid object, expressing the relationship by a straight-line optical flow equation group and constructing a physical model and a mathematical model of a three-dimensional reconstruction algorithm. The invention has the advantages of realizing the three-dimensional reconstruction and the moving target division of an object with a straight-line profile in a scene quickly, solving the problems of robustness of the three-dimensional reconstruction algorithm and reconstruction of a shielding boundary of the scene effectively and enhancing the accuracy of three-dimensional reconstruction effectively.

Description

Technical field [0001] The invention relates to a three-dimensional reconstruction method of a linear optical flow field, in particular to a three-dimensional reconstruction method of a linear optical flow field based on an intelligent optimization algorithm. Background technique [0002] The real world is three-dimensional. For a long time, limited by the development level of science and technology, the vast majority of what we can obtain and effectively process and analyze is two-dimensional data, which makes the three-dimensional information of a large number of objects lost. With the development of computer technology, people's acquisition of information has shifted from traditional two-dimensional planar images to three-dimensional stereo images. In recent years, three-dimensional reconstruction methods based on optical flow fields have developed rapidly, but traditional methods have two fatal problems: one is to reconstruct three-dimensional motion and structure based on pi...

AI Technical Summary

Problems solved by technology

In recent years, the 3D reconstruction method based on the optical flow field has developed rapidly, but there are two fatal problems in the traditional method: one is to reconstruct the 3D motion and structure based on the pixel optical flow field, which not only has a low level of abstraction, but also has poor computational efficiency. In particular, it cannot solve the reconstruction problem at the occlusion boundary of the scene; second, the calculation accuracy of the 3D reconstruction method is not high, the robustness is poor, and the correct result is often not obtained

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