Image clusters based 3D virtual tour schema

Dan Zhang, Rui Zheng, Guosheng Yang
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引用次数: 1

Abstract

This paper presents a 3D virtual tour schema based on image clusters. With the development of the Internet, various image-based applications have generated large amounts of image data. Vast amounts of image data can be effectively organized by clustering algorithms according to their geographic location information and content, thus forming image clusters. These data then can be reconstructed for 3D virtual tour using the state-of-the-art computer vision methods. This paper analyzes the popular photo tours application and Photosynth, and proposes an image clusters based 3D virtual tour schema on the basis of these applications. This paper also points out the room for improvement in the future, and several possible applications based on this schema are discussed finally.
基于图像聚类的三维虚拟漫游模式
提出了一种基于图像聚类的三维虚拟漫游方案。随着互联网的发展,各种基于图像的应用产生了大量的图像数据。聚类算法可以根据图像的地理位置信息和内容对海量图像数据进行有效的组织,形成图像聚类。然后,这些数据可以使用最先进的计算机视觉方法重建3D虚拟旅行。本文分析了目前流行的照片漫游应用和Photosynth,并在这些应用的基础上提出了一种基于图像聚类的三维虚拟漫游方案。本文还指出了未来的改进空间,最后讨论了基于该模式的几种可能的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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