Title
Statistical Comparison between Low-Cost Methods for 3D Characterization of Cut-Marks on Bones.
Abstract
In recent years, new techniques for the morphological study of cut marks have become essential for the interpretation of prehistoric butchering practices. Different criteria have been suggested for the description and classification of cut marks. The methods commonly used for the study of cut marks rely on high-cost microscopy techniques with low portability (i.e., inability to work in situ), such as the 3D digital microscope (3D DM) or laser scanning confocal microscopy (LSCM). Recently, new algorithmic developments in the field of computer vision and photogrammetry, have achieved very high precision and resolution, offering a portable and low-cost alternative to microscopic techniques. However, the photogrammetric techniques present some disadvantages, such as longer data collection and processing time, and the requirement of some photogrammetric expertise for the calibration of the cameras and the acquisition of precise image orientation. In this paper, we compare two low-cost techniques and their application to cut mark studies: the micro-photogrammetry (M-PG) technique presented, developed, and validated previously, and a methodology based on the use of a structured light scanner (SLS). A total of 47 experimental cut marks, produced using a stainless steel knife, were analyzed. The data registered through virtual reconstruction was analyzed by means of three-dimensional geometric morphometrics (GMM).
Year
DOI
Venue
2017
10.3390/rs9090873
REMOTE SENSING
Keywords
Field
DocType
micro-photogrammetry,structured light laser scanner,cut marks,bones,statistical agreement,low-cost
Computer vision,Photogrammetry,Structured light,Artificial intelligence,Scanner,Software portability,Orientation (computer vision),Microscopy,Digital microscope,Geology,Calibration
Journal
Volume
Issue
ISSN
9
9
2072-4292
Citations 
PageRank 
References 
0
0.34
4
Authors
4