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High-resolution underwater robotic vision-based mapping and three-dimensional reconstruction for archaeology

机译:基于高分辨率水下机器人视觉的地图绘制和三维重建

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摘要

Documenting underwater archaeological sites is an extremely challenging problem. Sites covering large areas are particularly daunting for traditional techniques. In this paper, we present a novel approach to this problem using both an autonomous underwater vehicle (AUV) and a diver-controlled stereo imaging platform to document the submerged Bronze Age city at Pavlopetri, Greece. The result is a three-dimensional (3D) reconstruction covering 26,600 m2 at a resolution of 2 mm/pixel, the largest-scale underwater optical 3D map, at such a resolution, in the world to date. We discuss the advances necessary to achieve this result, including i) an approach to color correct large numbers of images at varying altitudes and over varying bottom types; ii) a large-scale bundle adjustment framework that is capable of handling upward of 400,000 stereo images; and iii) a novel approach to the registration and rapid documentation of an underwater excavations area that can quickly produce maps of site change. We present visual and quantitative comparisons to the authors' previous underwater mapping approaches.
机译:记录水下考古遗址是一个极具挑战性的问题。覆盖大片区域的站点对于传统技术而言尤其令人生畏。在本文中,我们提出了一种使用自动水下航行器(AUV)和潜水员控制的立体成像平台来解决这一问题的新方法,以记录希腊Pavlopetri的青铜时代城市。结果是在2mm /像素的分辨率下覆盖了26,600平方米的三维(3D)重建,这是迄今为止世界上最大规模的水下光学3D地图。我们讨论了达到此结果所必需的进步,其中包括:i)一种在不同高度和不同底部类型上对大量图像进行色彩校正的方法; ii)大型束调整框架,能够处理多达40万个立体图像; iii)注册和快速记录水下挖掘区域的新颖方法,可以快速生成工地变化图。我们提出与作者以前的水下制图方法的视觉和定量比较。

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