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评估苹果公司的物体捕捉摄影测量应用程序编程接口,用于快速创建具有研究质量的文化遗产三维模型。

Assessment of Apple's object capture photogrammetry API for rapidly creating research quality cultural heritage 3D models.

作者信息

Hurst Stance, Franklin Lauren, Johnson Eileen

机构信息

Heritage and Museum Sciences, Museum of Texas Tech University, Lubbock, Texas, United States of America.

School of Anthropology, University of Arizona, Tucson, Arizona, United States of America.

出版信息

PLoS One. 2024 Dec 12;19(12):e0314560. doi: 10.1371/journal.pone.0314560. eCollection 2024.

DOI:10.1371/journal.pone.0314560
PMID:39666714
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11637407/
Abstract

Photogrammetry is a significant tool museums utilize to produce high-quality 3D models for research and exhibit content. As advancements in computer hardware and software continue, it is crucial to assess the effectiveness of photogrammetry software in producing research-quality 3D models. This study evaluates the efficacy of Apple's Object Capture photogrammetry API to create high-quality 3D models. The results indicate that Object Capture is a viable option to create research-quality models efficiently for a variety of natural and cultural heritage objects. Object Capture is notable for its minimal need for masking backgrounds within images and its ability to create models with fewer than 100 images and process 3D models in under 10 minutes.

摘要

摄影测量是博物馆用于为研究和展览内容制作高质量3D模型的重要工具。随着计算机硬件和软件的不断进步,评估摄影测量软件在制作研究级3D模型方面的有效性至关重要。本研究评估了苹果的物体捕捉摄影测量应用程序编程接口创建高质量3D模型的功效。结果表明,物体捕捉是一种可行的选择,能够为各种自然和文化遗产物体高效创建研究级模型。物体捕捉的显著特点是对图像背景遮罩的需求极小,并且能够用少于100张图像创建模型,并在10分钟内处理3D模型。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c990/11637407/8a13d391853b/pone.0314560.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c990/11637407/b1119be5fc54/pone.0314560.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c990/11637407/7a58f5509699/pone.0314560.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c990/11637407/16cb6d364cfb/pone.0314560.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c990/11637407/6043fc3c2099/pone.0314560.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c990/11637407/5515c94bc4ad/pone.0314560.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c990/11637407/61ac58eb86af/pone.0314560.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c990/11637407/8a13d391853b/pone.0314560.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c990/11637407/b1119be5fc54/pone.0314560.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c990/11637407/7a58f5509699/pone.0314560.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c990/11637407/16cb6d364cfb/pone.0314560.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c990/11637407/6043fc3c2099/pone.0314560.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c990/11637407/5515c94bc4ad/pone.0314560.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c990/11637407/61ac58eb86af/pone.0314560.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c990/11637407/8a13d391853b/pone.0314560.g007.jpg

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PLoS One. 2020 Aug 13;15(8):e0236417. doi: 10.1371/journal.pone.0236417. eCollection 2020.
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