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通过 SfM/MVS 和手持激光扫描仪的 3D 数据比较,提出一种新的 SfM/MVS 三维重建自动化方法。

A proposal of a new automated method for SfM/MVS 3D reconstruction through comparisons of 3D data by SfM/MVS and handheld laser scanners.

机构信息

Nara National Research Institute for Cultural Properties, Nara, Japan.

Anthropological Institute, Nanzan University, Nagoya, Japan.

出版信息

PLoS One. 2022 Jul 20;17(7):e0270660. doi: 10.1371/journal.pone.0270660. eCollection 2022.

DOI:10.1371/journal.pone.0270660
PMID:35857749
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9299387/
Abstract

SfM/MVS photogrammetry has received increasing attention due to its convenience, broadening the range of its applications into archaeology and anthropology. Because the accuracy of SfM/MVS depends on photography, one important issue is that incorrect or low-density point clouds are found in 3D models due to poor overlapping between images. A systematic way of taking photographs solve these problems, though it has not been well established and the accuracy has not been examined either, with some exceptions. The present study aims to (i) develop an efficient method for recording pottery using an automated turntable and (ii) assess its accuracy through a comparison with 3D models made by laser scanning. We recorded relatively simple pottery manufactured by prehistoric farmers in the Japanese archipelago using SfM/MVS photogrammetry and laser scanning. Further, by measuring the Hausdorff distance between 3D models made using these two methods, we show that their difference is negligibly small, suggesting that our method is sufficiently accurate to record pottery.

摘要

SfM/MVS 摄影测量因其便利性而受到越来越多的关注,其应用范围已扩展到考古学和人类学领域。由于 SfM/MVS 的准确性取决于摄影,因此一个重要问题是,由于图像之间的重叠不佳,在 3D 模型中会发现不正确或密度低的点云。尽管已经提出了一种系统的拍照方法来解决这些问题,但尚未得到很好的确立,也没有检查其准确性,除了一些例外。本研究旨在:(i) 开发一种使用自动化转台记录陶器的有效方法;(ii) 通过与激光扫描生成的 3D 模型进行比较来评估其准确性。我们使用 SfM/MVS 摄影测量法和激光扫描法记录了日本列岛史前农民制造的相对简单的陶器。此外,通过测量这两种方法生成的 3D 模型之间的 Hausdorff 距离,我们表明它们之间的差异可以忽略不计,这表明我们的方法记录陶器的准确性足够高。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e863/9299387/f45f7413f357/pone.0270660.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e863/9299387/05e8105095a2/pone.0270660.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e863/9299387/aa67545f5ec9/pone.0270660.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e863/9299387/d7423e7c66b3/pone.0270660.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e863/9299387/f14bcc45ff54/pone.0270660.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e863/9299387/f4f6a3056361/pone.0270660.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e863/9299387/e56a92585ef7/pone.0270660.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e863/9299387/f45f7413f357/pone.0270660.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e863/9299387/05e8105095a2/pone.0270660.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e863/9299387/aa67545f5ec9/pone.0270660.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e863/9299387/d7423e7c66b3/pone.0270660.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e863/9299387/f14bcc45ff54/pone.0270660.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e863/9299387/f4f6a3056361/pone.0270660.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e863/9299387/e56a92585ef7/pone.0270660.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e863/9299387/f45f7413f357/pone.0270660.g007.jpg

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