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Photogrammetric Texture Mapping: A methodology of applying photorealistic textures on scanned dense points cloud data

Author(s): Kotaro Yamafune ; Christopher Dostal

Year: 2017

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Summary

The biggest technological improvement to archaeological documentation techniques in recent years has been the implementation of various 3D digitization technologies, such as Computer Vision Photogrammetry and 3D laser scanning. Laser scanning produces the most accurate geometrical data available today, but it lacks the ability to accurately capture textures and diagnostic coloration information. Photogrammetric data produces highly accurate photographic textures, but the geometric data tends to be less accurate than the laser scanned data.

In this paper, the authors present a new methodology that combine advantages of laser scanner and Computer Vision Photogrammetry; applying photorealistic photogrammetry textures on geometry of laser scanned 3-D digital models. This methodology allows archaeologists to have a 3-D digital model that possesses laser scan quality geometry with photorealistic textures. Furthermore, archaeologist can apply this methodology to various laser scan dataset which is from artifacts captured by FaroArm to landscapes captured by a multi-beam sonar.


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Cite this Record

Photogrammetric Texture Mapping: A methodology of applying photorealistic textures on scanned dense points cloud data. Kotaro Yamafune, Christopher Dostal. Presented at Society for Historical Archaeology, Fort Worth, TX. 2017 ( tDAR id: 435683)


Keywords


Spatial Coverage

min long: 127.652; min lat: 26.086 ; max long: 145.812; max lat: 45.486 ;

Record Identifiers

PaperId(s): 623

Arizona State University The Andrew W. Mellon Foundation National Science Foundation National Endowment for the Humanities Society for American Archaeology Archaeological Institute of America