Image Based 3D Posture Matching in Real Time for Stone Tool Assembly

Batbold, Togtokhtur; Renchin-Ochir, Amartuvshin; Konno, Kouichi

doi:10.1109/nicoint50878.2020.00009

Cited by 4 publications

(2 citation statements)

References 6 publications

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“…One of the shape similarity comparison methods uses a closed region surrounded by contour lines. 2 It calculates Hu Moment from a closed region to determine the shape similarity. Hu Moment is a unique seven-equation combination that can be calculated from silhouette and is invariant to scaling and rotation.…”

Section: Related Workmentioning

confidence: 99%

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A method to improve the accuracy of stone tools identification with D2 distribution

Seto,

Kinoshita

et al. 2024

International Workshop on Advanced Imaging Technology (IWAIT) 2024

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When a large number of stone tools need to be studied, a unique identification number is assigned to each stone tool to distinguish one from the others. Since most of the current methods of stone tool management are operated manually, identification information may be lost in the process of research. Therefore, a new system is required to provide the identification numbers automatically from actual stone tools. The previous study proposed an identification method that realizes matching using stone tool silhouettes and the ICP algorithm. However, it is difficult to identify stone tools if they are thick because the matching method is based on two-dimensional approach. According to Chida et al., the improvement of performance is achieved using D2 distribution to narrow down candidates as a preprocessing step for stone tool matching. This paper proposes a method that realizes matching including D2 distribution, which enables 3D comparison, with the methods of the previous study to achieve higher identification accuracy.

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Section: Related Workmentioning

confidence: 99%

“…The previous study 1 proposed an identification method that realizes matching using stone tools silhouettes 2 and the ICP algorithm. However, it is difficult to identify stone tools if they are thick because the matching method is based on two-dimensional approach.…”

Section: Introductionmentioning

confidence: 99%