2013
DOI: 10.5194/isprsannals-ii-5-w1-181-2013
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Automatic Tool Mark Identification and Comparison With Known Bronze Age Hand Tool Replicas

Abstract: ABSTRACT:The acquisition of high-resolution surface information by advanced documentation methods as short-range laser scanning or closerange photogrammetry can provide novel tool mark research perspectives in the field of archaeological sciences. For this reason, altogether eight different Bronze Age hand tool replicas and their tool marks were surveyed and analysed in this study. The automatic identification of sliding tool marks was carried out in a GIS environment. Based on hydrological and aspect paramete… Show more

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Cited by 3 publications
(7 citation statements)
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“…A further interesting result proved the significance of the handle or haft as the long-hafted axes had greater productivity over time during the experimental tree felling work steps (Mathieu et al, 1997). In addition, the handle's mounting angle of a hand tool can also influence the woodworking efficiency as an approximately 13% smaller mounting position has produced around 40% less wood trimming volume within the same time sequence during an archaeological experiment (Kovács et al, 2013). In the beginning of the 1970's, a research group investigated the ancient wood chopping work steps and the results revealed that a stone axe must have been utilised over six times as long as a steel axe for the accomplishment of the same working tasks (Saraydar et al, 1971).…”
Section: Related Workmentioning
confidence: 85%
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“…A further interesting result proved the significance of the handle or haft as the long-hafted axes had greater productivity over time during the experimental tree felling work steps (Mathieu et al, 1997). In addition, the handle's mounting angle of a hand tool can also influence the woodworking efficiency as an approximately 13% smaller mounting position has produced around 40% less wood trimming volume within the same time sequence during an archaeological experiment (Kovács et al, 2013). In the beginning of the 1970's, a research group investigated the ancient wood chopping work steps and the results revealed that a stone axe must have been utilised over six times as long as a steel axe for the accomplishment of the same working tasks (Saraydar et al, 1971).…”
Section: Related Workmentioning
confidence: 85%
“…For this reason, the direction of these edge lines implied the main categories during the definition of aspect classes. The boundaries of aspect changes between these main categories can represent the edges of hand tool impressions and after the intersections with the stream network, the locations of the pour points could be determined (Kovács et al, 2013). This objective, repeatable method determines the one of the core parts of this study since this user-independent exact segmentation process provides the initial situation for the detailed morphological characterisation and classification.…”
Section: Spatial Analysis Techniques For Tool Mark Studiesmentioning
confidence: 99%
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“…For this reason, an exact integration of GIS-based hydrological and aspect investigation techniques can offer userindependent and repeatable tool mark recognition workflow. This method has already been discussed in two previous publications of the authors ( [5], [13]). 2.4.…”
Section: Structured-light Scanning Documentation and Spatial Analysismentioning
confidence: 98%
“…Sands [4] has interpreted construction methods from tool marks by photo documentation and labor analysis on selected wooden artefacts from Oakbank Crannog in Scotland. After short-range laser scanning surveys, Bronze Age hand tools and their tool marks were compared and the woodworking efficiency of these replicas were calculated by the authors in a previous study [5]. Similar high-resolution documentation workflow was applied in an interdisciplinary archaeological project where a Bronze Age sluice box from Mitterberg, Austria was reconstructed and investigated after the three-dimensional measurements (Figure 1).…”
Section: Introductionmentioning
confidence: 99%