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The study for gigapixel image utilizing robot panoramic head and image stitching technique

机译:利用机器人全景头和图像拼接技术研究千兆像素图像

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Currently, while the technology related to gigapixel image might not be well known to the general masses of people, leading edge enterprises like Google and BAE Systems are successively reporting for achieving the progress of gigapixel application and camera system. Even though conventional camera technology is limited to the class of megapixel image, we can obtain gigapixel image readily by means of robot panoramic head and image stitching technique. In this paper, we investigate the total process of creating gigapixel image which will be expected to make the chance of a multibillion dollar business in the industrial area related to vision technology and surveillance. From the experience of this research, we can also utilize the knowledge to devise and develop new types of gigapixel camera system such as AWARE camera of Duke University and ARGUS - IS camera of BAE Systems. Meanwhile, we try to report very important issue realized from the process of creating gigapixel images, that is, visibility problem and how to correct.
机译:目前,虽然与Gigapixel Image相关的技术可能不是众多人群,但谷歌和BAE系统等领先的Edge企业依赖于实现Gigapixel应用和相机系统的进展。尽管传统的相机技术仅限于百万像素图像的类,但我们可以通过机器人全景头和图像拼接技术易于获得千兆像素图像。在本文中,我们调查了创造千兆像素图像的总过程,这些过程将有望在与视觉技术和监视有关的工业区中实现多亿美元业务。从本研究的经验,我们还可以利用知识设计和开发新型的千像千像千兆克相机系统,如公爵大学的了解和Argus - 是BAE系统的相机。同时,我们试图报告从创建千兆像素图像的过程中实现的非常重要的问题,即可见性问题以及如何纠正。

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