Single-camera image acquisition system based on rotary bipartite prism and three-dimensional reconstruction method

Abstract

The invention relates to a single-camera image acquisition system based on a rotary dichotomy prism and a three-dimensional reconstruction method, the system comprises a camera device and a rotary dichotomy prism device, and the camera device comprises a camera and a camera support for supporting the camera; the rotary bipartite prism device comprises a bipartite prism, a prism supporting structure, a rotating mechanism and an outer shell for supporting the rotary bipartite prism device; the three-dimensional reconstruction method comprises the following steps: system construction and parameter calibration, multi-view image sequence acquisition, stereo matching and cross optimization, and three-dimensional reconstruction and point cloud filtering. Compared with the prior art, the imaging visual angle of the single camera is changed through the rotating motion of the bipartite prism, so that the function that the dynamic binocular vision system captures multi-visual-angle target information is achieved through simulation, and the precision, efficiency, implementation flexibility and dynamic adaptability of single-camera multi-visual-angle stereo matching and three-dimensional reconstruction can be effectively improved.

Description

technical field [0001] The invention relates to the field of multi-view three-dimensional reconstruction, in particular to a single-camera image acquisition system and a three-dimensional reconstruction method based on a rotating dichotomous prism. Background technique [0002] Multi-view 3D reconstruction is a technology that uses multiple image sequences captured under different viewing angles to restore the 3D shape information of space objects through the principle of stereo geometric vision. It has important application value in the fields of autonomous navigation, geographic surveying and mapping, and space remote sensing. Traditional dual-camera or multi-camera vision systems achieve multi-view image information acquisition by increasing the number of sensors, but at the cost of increasing system complexity, expanding physical size, and reducing the public field of view. In contrast, the single-camera vision system has a simple structure and a high degree of integrati...

AI Technical Summary

Problems solved by technology

[0007] 1. The method of collecting multi-view target images by changing the camera position and shooting angle, the flexibility of its specific implementation and the universality of practical applications are limited to a certain extent;

[0008] 2. The method of collecting multi-view target images by using multiple groups of symmetrical distributed mirrors must provide enough layout space and adjust the angle to ensure the field of view of the 3D reconstruction, sacrificing the compactness and integration of the system and its resistance to error disturbance Inhibition, adaptability

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