A Study of Analyzing Shape Similarities Between the Arm Model of Mongolian Buddha Statues for Archaeological Applications

Renchin-Ochir, Amartuvshin; Altantsetseg, Enkhbayar; Konno, Kouichi

doi:10.1109/cw.2019.00074

Cited by 1 publication

(3 citation statements)

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“…Evaluation of shape similarity : Archaeologists have been eager to examine similarities between Tara statues parts, as mentioned earlier, therefore, we developed a simple and efficient evaluation method in the previous study [2], which displays a color instead of the distance between two surfaces. In summary, our improved evaluation method was completed following these simple steps.…”

Section: Methodsmentioning

confidence: 99%

“…The distance between two aligned surfaces of the arm models was derived using the improved point-to-plane error metric in the study [2]. The distance between two surfaces was derived from the distance between the source point, p k , and the plane described by target point q i and its local surface normal.…”

Section: Methodsmentioning

confidence: 99%

“…As the statues contains various decorations on its body surface, it is difficult to evaluate the shape similarities. Therefore, in the previous study [2], we suggested the two methods: complex hole-filling and the point-cloud-based shape similarity evaluation method.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Evaluation Method for Shape Similarities between Archaeological Unorganized Point Cloud

Renchin-Ochir

Badarch

Konno

2022

The Journal of the Society for Art and Science

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Researchers assume that the bodies of several Tara statues may have been molded from the same template. Therefore, researchers are eager to study the shape similarities between the Tara statues. Motivated by the archaeologist's requirements, this study presents an efficient approach to evaluate shape similarities between point clouds of two different Tara statues right-arm models. The evaluation approach consists of two main stages. The first is the reconstruction of individual body parts without decoration using a B-spline surface approximation technique. In previous reconstruction process, the surrounding surface selection parameter was manually specified. If the manually applied parameter is inadequate, it reduces the accuracy of the surface approximation and hole-filling, resulting in reduced accuracy of the evaluation result. Therefore, in this study, the surrounding surface selection parameter is automatically determined based on the Golden-section-search algorithm. The second stage evaluates the shape similarities between two different point clouds. The evaluation method considers a simple point-to-surface distance metric method with overlapping-surface detection and when compared with generic point-to-point distance metric method, the evaluation results proved that the proposed methodology was reliable and effective for this application. The approximation accuracy affects the evaluation result when the reconstruction method fills the gap by adding new points through the approximated surface. Therefore, in this study, the shape similarities were investigated between the two arm models with holes, immediately after separating the decoration parts.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%