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Low-Cost 3D Modeling for Archaeological Sites.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Low-Cost 3D Modeling for Archaeological Sites./
作者:	Parsons, Ted.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2020,
面頁冊數:	130 p.
附註:	Source: Masters Abstracts International, Volume: 81-11.
Contained By:	Masters Abstracts International81-11.
標題:	Archaeology. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27955578
ISBN:	9798643173144

Low-Cost 3D Modeling for Archaeological Sites.
Parsons, Ted.

Low-Cost 3D Modeling for Archaeological Sites. - Ann Arbor : ProQuest Dissertations & Theses, 2020 - 130 p.

Source: Masters Abstracts International, Volume: 81-11.

Thesis (M.A.)--University of Alaska Anchorage, 2020.

This item is not available from ProQuest Dissertations & Theses.

This thesis assesses the use of portable three dimensional (3D) modeling techniques including PhotoScan/Metashape Structure from Motion (SfM) photogrammetry, short-range laser scanning, and infrared (IR) depth mapping. Chapters 2 and 3 are articles already submitted for publication in academic journals. The first article reports on a case where low-cost, highly portable, three-dimensional modeling techniques documented surface and subterranean sites in a rugged and remote landscape in Hawaiʻi. Photogrammetry and IR depth mapping were used. Final drawings prepared from 3D models were more aesthetically pleasing and accurate than those produced with traditional field recording techniques. The second article tested 3D techniques in a controlled outdoor setting, adding a NextEngine short-range desktop laser scanner with color imaging capability to SfM and IR depth mapping. Evaluation criteria included suitability for transport and use in rugged settings, subjective model appraisal, and several comparative quantitative measurements. All three methods met a generally accepted measurement error-standard for site documentation. The NextEngine produced high-quality models, but required significant in-field support, including a heavy battery pack. IR depth mapping, in the form of a repurposed Microsoft Kinect for Xbox 360 video game controller, created lower-quality models, but worked very quickly, producing models in near-real-time. SfM scored best for mobility and overall model quality, while requiring significant computing resources.

ISBN: 9798643173144Subjects--Topical Terms:

558412
Archaeology.
Subjects--Index Terms:

Archaeological field methods

Low-Cost 3D Modeling for Archaeological Sites.
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506 $a This item must not be sold to any third party vendors.
520 $a This thesis assesses the use of portable three dimensional (3D) modeling techniques including PhotoScan/Metashape Structure from Motion (SfM) photogrammetry, short-range laser scanning, and infrared (IR) depth mapping. Chapters 2 and 3 are articles already submitted for publication in academic journals. The first article reports on a case where low-cost, highly portable, three-dimensional modeling techniques documented surface and subterranean sites in a rugged and remote landscape in Hawaiʻi. Photogrammetry and IR depth mapping were used. Final drawings prepared from 3D models were more aesthetically pleasing and accurate than those produced with traditional field recording techniques. The second article tested 3D techniques in a controlled outdoor setting, adding a NextEngine short-range desktop laser scanner with color imaging capability to SfM and IR depth mapping. Evaluation criteria included suitability for transport and use in rugged settings, subjective model appraisal, and several comparative quantitative measurements. All three methods met a generally accepted measurement error-standard for site documentation. The NextEngine produced high-quality models, but required significant in-field support, including a heavy battery pack. IR depth mapping, in the form of a repurposed Microsoft Kinect for Xbox 360 video game controller, created lower-quality models, but worked very quickly, producing models in near-real-time. SfM scored best for mobility and overall model quality, while requiring significant computing resources.
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