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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:当前,虽然与千兆像素图像有关的技术可能尚未为大众所熟知,但Google和BAE Systems等领先企业纷纷报告实现千兆像素应用和相机系统的进展。即使传统的相机技术仅限于百万像素级的图像,我们也可以通过机器人全景头和图像拼接技术轻松获得十亿像素级图像。在本文中,我们将研究创建十亿像素图像的整个过程,这将有望在与视觉技术和监控相关的工业领域中创造数十亿美元的业务机会。从这项研究的经验中,我们还可以利用这些知识来设计和开发新型的千兆像素相机系统,例如杜克大学的AWARE相机和BAE Systems的ARGUS-IS相机。同时,我们尝试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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