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一种采用瓢虫2相机的全景成像中非均匀图像坐标系定义的C均值分割新方法。

A new method with C-means segmentation for non-uniform image coordinate system definition in panoramic imaging employing Ladybug2 camera.

作者信息

Şahin Cumhur, Ergün Bahadır, Bilücan Furkan

机构信息

Department of Geomatics Engineering, Gebze Technical University, 41400, Kocaeli, Turkey.

出版信息

Sci Rep. 2024 Aug 2;14(1):17970. doi: 10.1038/s41598-024-68777-x.

DOI:10.1038/s41598-024-68777-x
PMID:39095401
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11297198/
Abstract

A panorama ensures a stunning wide-angle field of view up to 360° representation of a scene, exceeding the limits of a normal photograph. Panoramic cameras satisfy the single-viewpoint characteristic. There are several types of panoramic cameras for 360-degree imaging. Multi-camera panoramic imaging systems pose a difficulty in obtaining a single projection center for the cameras. In a variety of practical implementations of panoramic cameras, it is possible to calculate three-dimensional coordinates from a panoramic image, especially using the Direct Linear Transformation (DLT) method. In this study, not only a defining method of the non-uniform image coordinate system is presented by utilizing the C-Means algorithm for a single panoramic image, captured with a Ladybug2 panoramic camera in a panoramic calibration room but also the use of an elliptical panoramic projection coordinate system is defined by the Singular Value Decomposition method in a panoramic view. The results of the suggested method have been compared with the DLT algorithm for a single panoramic image which defined a conventional photogrammetric image coordinate system. It has been observed that the proposed method provides more accurate results for the 3D coordinate definition.

摘要

全景图可确保呈现令人惊叹的广角视野,能对场景进行360°的展示,超越了普通照片的局限。全景相机满足单视点特性。有多种用于360度成像的全景相机类型。多相机全景成像系统在为相机获取单个投影中心方面存在困难。在全景相机的各种实际应用中,尤其是使用直接线性变换(DLT)方法,有可能从全景图像计算三维坐标。在本研究中,不仅利用C均值算法为在全景校准室中用Ladybug2全景相机拍摄的单个全景图像提出了非均匀图像坐标系的定义方法,还通过奇异值分解方法在全景视图中定义了椭圆全景投影坐标系的使用。已将所提方法的结果与为单个全景图像定义传统摄影测量图像坐标系的DLT算法进行了比较。据观察,所提方法在三维坐标定义方面提供了更准确的结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4882/11297198/742b99279b89/41598_2024_68777_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4882/11297198/6f49b9b3571b/41598_2024_68777_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4882/11297198/99694b66efa8/41598_2024_68777_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4882/11297198/97312255fe41/41598_2024_68777_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4882/11297198/8fac065edc26/41598_2024_68777_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4882/11297198/db6420169bc6/41598_2024_68777_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4882/11297198/dd8a228daadb/41598_2024_68777_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4882/11297198/742b99279b89/41598_2024_68777_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4882/11297198/6f49b9b3571b/41598_2024_68777_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4882/11297198/99694b66efa8/41598_2024_68777_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4882/11297198/97312255fe41/41598_2024_68777_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4882/11297198/8fac065edc26/41598_2024_68777_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4882/11297198/db6420169bc6/41598_2024_68777_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4882/11297198/dd8a228daadb/41598_2024_68777_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4882/11297198/742b99279b89/41598_2024_68777_Fig8_HTML.jpg

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