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机构地区:[1]广东工业大学数字媒体系,广东广州510090
出 处:《计算机应用与软件》2008年第6期228-230,共3页Computer Applications and Software
摘 要:近年来,球形全景的虚拟现实方法开始发展起来。在已有的球形全景图像拼接方法中,基本上都是"半自动"的拼接方法,需要很多人工操作,效率低下、成本高昂。提出一种球面自寻匹配的拼接算法。该算法通过把多幅图像映射到一个合适的球面上,自动调整每幅图像的插入点,使得重合位置的差值图像灰度累积平均值最小,然后球面的图像反映射成平面形式,最终得到拼合图像。该算法可使程序实现完全自动化,使人工操作降至最低,从而降低全景图像的制作成本。Virtual reality method of spherical panorama has been developing in these years. Almost all of the known methods of spherical stitching are semi-automatic, which are inefficient and expensive due to much manual operations. This article introduces a sphere self-search and match algorithm. The algorithm automatically adjusts every image's inserting point by mapping multi-images onto a suitable sphere, to make accumulative average gray values of difference images on overlapped position be minimal, and then conversely maps the spherical image to plan image to finally get the stitched images. By this algorithm the program operation is completely automatized, the manual operation is significantly reduced which in turn cuts the cost of panorama processing.
分 类 号:TP391.41[自动化与计算机技术—计算机应用技术] TS941.26[自动化与计算机技术—计算机科学与技术]
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