3D Face Alignment for Japanese Terracotta Figurines (Haniwa)

Lü, Xin; Li, Chunyuan; Kinoshita, Tsutomu; Kimura, Akio; Konno, Kouichi

doi:10.1109/nicoint.2019.00011

Cited by 4 publications

(4 citation statements)

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“…Since observation is a subjective evaluation, an objective evaluation method is necessary for authenticity. For objective evaluation, Lu .et al 1 presented a previous research by using 3D point clouds of Haniwa. Unfortunately, Lu .et al 1 includes manual operation to extract target point sets.…”

Section: Introductionmentioning

confidence: 99%

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A study on automatic face parts extraction for evaluating face similarity of Haniwa based on 3D measured point clouds

Namioka

Kinoshita

et al. 2023

International Workshop on Advanced Imaging Technology (IWAIT) 2023

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Section: Introductionmentioning

confidence: 99%

“…For objective evaluation, Lu .et al 1 presented a previous research by using 3D point clouds of Haniwa. Unfortunately, Lu .et al 1 includes manual operation to extract target point sets.…”

Section: Introductionmentioning

confidence: 99%

A study on automatic face parts extraction for evaluating face similarity of Haniwa based on 3D measured point clouds

Namioka

Kinoshita

et al. 2023

International Workshop on Advanced Imaging Technology (IWAIT) 2023

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“…Our experimental results demonstrate that the proposed method is effective for the similarity evaluation of the Haniwa through the three-dimensional point cloud. * Part of the material in this article has been orally presented at conference NICOGRAPH 2019 [1]. This article has been improved based on the peer-reviewed comments at the submission of NICOGRAPH 2019, and questions of the chair at its session.…”

mentioning

confidence: 99%

“…and constrained by L (1) ⩾ L (2) ⩾ L (3) , where N (t) is the number of v (t) in V (t) . Next, the three holes were assigned to their corresponding facial parts.…”

mentioning

confidence: 99%

点群ベースの測定基準による埴輪の三次元顔類似性に関する研究

Lü

Li²,

Kinoshita

et al. 2020

The Journal of the Society for Art and Science

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The Haniwa are a type of terracotta figurines from ancient Japan, which have been scanned and saved as three-dimensional models composed of point cloud and triangular meshes for archaeological research. Although these three-dimensional models can be used to analyze the production technique of the Haniwa, there are several cases where archaeologists subjectively classify the Haniwa using only visual and qualitative observation approaches based on the Haniwa features, i.e., the face, clothes, etc. Here, the need for a computer-aided and quantitative evaluation method, using three-dimensionally measured point cloud, becomes evident. For a quantitative evaluation of the Haniwa, the evaluation of face similarity is considered an important issue. As the face is mainly composed of nose, mouth, and eyes, the face similarity of the Haniwa can be evaluated by comparing the corresponding facial parts between individuals. However, shapes and placements of the same facial parts for each pair of Haniwa have individual differences. Therefore, the face alignment to precisely localise the facial parts and recoginize their shapes should be required. To achieve the aforementioned precise alignment, a hybrid method combining ellipsoid-fitting-based segmentation and topological hole detection is proposed, to extract the point cloud of the nose and locate the contours of the eyes and mouth. Besides the face alignment, the quantitative evaluation essentially contains a process of comparing the faces by analyzing the relationships between the facial parts. For the face comparison, when the facial parts are aligned, the point clouds of the nose for each pair of Haniwa are registered through a scaling iterative closest point algorithm to achieve a value for scale alignment. After the point clouds of all the facial parts for each pair of Haniwa are aligned on the same scale to suppress scale error generated in production, their difference is calculated using the standard iterative closest point algorithm to obtain point-based dissimilarity for each pair of Haniwa. Moreover, owing to basic visual observation, the difference in the relative positions of the eyes and mouths with respect to those of the noses was manually measured as another dissimilarity for face comparison. Our experimental results demonstrate that the proposed method is effective for the similarity evaluation of the Haniwa through the three-dimensional point cloud. * Part of the material in this article has been orally presented at conference NICOGRAPH 2019 [1]. This article has been improved based on the peer-reviewed comments at the submission of NICOGRAPH 2019, and questions of the chair at its session.

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A Delaunay Triangulation-Based Point Cloud Hole Filling Algorithm by Fusion of 2D and 3D Data

Chen,

Sun,

et al. 2024

Lecture Notes in Electrical Engineering

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3D Face Alignment for Japanese Terracotta Figurines (Haniwa)

Cited by 4 publications

References 1 publication

A study on automatic face parts extraction for evaluating face similarity of Haniwa based on 3D measured point clouds

A study on automatic face parts extraction for evaluating face similarity of Haniwa based on 3D measured point clouds

点群ベースの測定基準による埴輪の三次元顔類似性に関する研究

A Delaunay Triangulation-Based Point Cloud Hole Filling Algorithm by Fusion of 2D and 3D Data

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