首页> 外文期刊>ISPRS Journal of Photogrammetry and Remote Sensing >Recent developments in large-scale tie-point matching
【24h】

Recent developments in large-scale tie-point matching

机译:大规模联络点匹配的最新发展

获取原文
获取原文并翻译 | 示例
       

摘要

Feature matching - i.e. finding corresponding point features in different images to serve as tie-points for camera orientation - is a fundamental step in photogrammetric 3D reconstruction. If the input image set is large and unordered, which is becoming increasingly common with the spread of photogrammetric recording to untrained user groups and even crowd-sourced geodata collection, the bottleneck of the reconstruction pipeline is the matching step, for two reasons. (i) Image acquisition without detailed viewpoint planning requires a denser set of viewpoints with larger overlaps, to ensure appropriate coverage of the object of interest and to guarantee sufficient redundancy for reliable reconstruction in spite of the unoptimised network geometry. As a consequence, there is a large number of images with overlapping viewfields, resulting in a more expensive matching step than, say, a regular block geometry. (ii) In the absence of a carefully pre-planned recording sequence it is not even known which images overlap. One thus faces the even bigger challenge to determine which pairs of images even can have tie-points and should therefore be fed into the matching procedure. In this paper we attempt a systematic survey of the state-of-the-art for tie-point generation in unordered image collections, including recent developments for very large image sets. (C) 2015 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS). Published by Elsevier B.V. All rights reserved.
机译:特征匹配-即在不同图像中找到对应的点特征以用作相机方向的联系点-是摄影测量3D重建的基本步骤。如果输入图像集很大且无序,这在摄影测量记录向未经训练的用户组甚至人群来源的地理数据收集的传播中变得越来越普遍,则重建管道的瓶颈是匹配步骤,这有两个原因。 (i)没有详细的视点规划的图像采集需要具有较大重叠的较密集的视点集,以确保适当覆盖感兴趣的对象,并且即使网络几何结构未优化,也可以确保足够的冗余度来进行可靠的重建。结果,存在大量具有重叠视场的图像,从而导致比例如规则块几何体更昂贵的匹配步骤。 (ii)在没有精心计划的记录序列的情况下,甚至不知道哪些图像重叠。因此,一个人面临更大的挑战,即要确定哪对图像甚至可以具有联络点,因此应将其送入匹配过程。在本文中,我们尝试对无序图像集中的联系点生成的最新技术进行系统的调查,包括非常大的图像集的最新发展。 (C)2015国际摄影测量与遥感学会(ISPRS)。由Elsevier B.V.发布。保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号