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Spherical panoramic stitching method based on improved radial distortion correction

A radial distortion and distortion correction technology, which is applied in the field of spherical panoramic stitching technology, can solve the problems of unable to meet the wide-area persistent monitoring requirements, small monitoring range, large distortion, etc., and achieve the effect of non-destructive and accurate stitching

Inactive Publication Date: 2017-12-01
TIANJIN UNIV
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AI Technical Summary

Problems solved by technology

[0003] In order to overcome the deficiencies of the existing technology, a spherical panoramic stitching technology based on improved radial distortion correction is proposed to solve the shortcomings of traditional cameras that cannot meet the needs of wide-area persistent monitoring due to low resolution, small monitoring range, and large distortion.

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  • Spherical panoramic stitching method based on improved radial distortion correction
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Embodiment Construction

[0035] Aiming at the defect that the traditional camera cannot meet the wide-area persistent monitoring requirements due to low resolution, small monitoring range and large distortion, the present invention proposes a spherical panoramic stitching technology based on improved radial distortion correction. The technical solution adopted in the present invention is: eliminate the image loss caused by ordinary distortion correction by improving the radial distortion correction, then complete the panoramic stitching through the spherical stitching algorithm, and finally eliminate the interference of repeated areas and the light rays of different cameras based on the weighted average method and optical balance fusion algorithm Differences, realize high-resolution and wide-area shooting, solve the defects of a single camera with low resolution, small monitoring range, and large distortion of fisheye cameras, and realize wide-area persistent monitoring.

[0036] The specific steps are...

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Abstract

The invention belongs to the technical field of computer vision, and provides a spherical panoramic stitching method in order to overcome the defects of prior art, such as the failure to meet requirements for wide-area and long-time monitoring which is often caused by low resolution and small area of monitoring. According to the invention, the technical solution discloses a spherical panoramic stitching method which can eliminate image loss caused by command distortion correction by improving radial distortion correction, then completes paranomic stitching through the spherical stitching algorithm, and eventually eliminates interference in repeated areas and light differences of different cameras based on the weighted average method and the optical equalization fusion algorithm, and achieves high resolution and wide area photographing. According to the invention, the method herein is applied to the processing of computer vision.

Description

technical field [0001] The invention belongs to the field of computer vision, and aims at the application requirements of wide-area persistent monitoring and invents a spherical panorama mosaic technology based on improved radial distortion correction. Background technique [0002] With the rapid development of society, the market demand for video surveillance is increasing rapidly. In video surveillance, wide-area persistent surveillance is an important component, and it plays an important role in important departments such as the military, public security, and transportation. Wide-area persistent monitoring requires a camera with a large shooting range and high resolution. The resolution of a traditional single camera is limited, and the wide-angle of the camera is small, so it is difficult to monitor a large area; although the fisheye lens can realize panoramic monitoring, the distortion of the lens is too large, resulting in poor imaging of the monitored object, which h...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T3/40G06T5/00G06T7/80
CPCG06T3/4038G06T5/80
Inventor 操晓春郑继龙李京知何军林李雪威
Owner TIANJIN UNIV
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