The Framework of Modeling Buddhist Head in 3D with Semantic Information

Abstract. Buddhist statues hold profound spiritual and cultural significance, yet their comprehensive analysis and identification remain largely reliant on manual annotation and expert scrutiny. Despite advancements in 3D modeling, the nuanced representation of these statues, essential for automated analysis, remains elusive. Integrating semantic information such as symbolic and cultural elements poses a further challenge. There currently exists no standardized method for modeling Buddhist heads in 3D with semantic information. This paper proposes a framework for the component-based analysis of Buddhist statues, particularly focusing on their heads, to bridge this gap. Drawing from diverse disciplines including archaeology, art history, and conservation, the framework leverages advancements in 3D reconstruction to provide a detailed depiction of intricate features. Building upon existing research outcomes, the framework facilitates the seamless integration of semantic information, capturing not only the physical attributes but also the cultural, historical, and spiritual dimensions of these sculptures. This approach aids in overcoming challenges in automated analysis and virtual restoration, providing a dynamic tool for exploration, preservation, and interpretation of cultural heritage. By enabling interdisciplinary synergy, the framework emerges as a dynamic tool for exploring, preserving, and interpreting the profound heritage of Buddhist art with unprecedented depth and clarity.

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Publication Details

Journal
ISPRS annals of the photogrammetry, remote sensing and spatial information sciences
Published
2024-10-18
DOI
https://doi.org/10.5194/isprs-annals-x-4-2024-255-2024
Citations
1
Primary Topic
Human Motion and Animation
Type
article
Field-Weighted Citation Impact
0.33
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article

The Framework of Modeling Buddhist Head in 3D with Semantic Information

Huabiao Li, Hongchao Fan, Miaole Hou, Yuehan Pan et al.
1 citations
ISPRS annals of the photogrammetry, remote sensing and spatial information sciences
Human Motion and Animation
0.33
article

The Framework of Modeling Buddhist Head in 3D with Semantic Information

Huabiao Li, Hongchao Fan, Miaole Hou, Yuehan Pan, Baohua Gu, Xiaoyu Zhao
article en
1 citations

Abstract

Abstract. Buddhist statues hold profound spiritual and cultural significance, yet their comprehensive analysis and identification remain largely reliant on manual annotation and expert scrutiny. Despite advancements in 3D modeling, the nuanced representation of these statues, essential for automated analysis, remains elusive. Integrating semantic information such as symbolic and cultural elements poses a further challenge. There currently exists no standardized method for modeling Buddhist heads in 3D with semantic information. This paper proposes a framework for the component-based analysis of Buddhist statues, particularly focusing on their heads, to bridge this gap. Drawing from diverse disciplines including archaeology, art history, and conservation, the framework leverages advancements in 3D reconstruction to provide a detailed depiction of intricate features. Building upon existing research outcomes, the framework facilitates the seamless integration of semantic information, capturing not only the physical attributes but also the cultural, historical, and spiritual dimensions of these sculptures. This approach aids in overcoming challenges in automated analysis and virtual restoration, providing a dynamic tool for exploration, preservation, and interpretation of cultural heritage. By enabling interdisciplinary synergy, the framework emerges as a dynamic tool for exploring, preserving, and interpreting the profound heritage of Buddhist art with unprecedented depth and clarity.

ISPRS annals of the photogrammetry, remote sensing and spatial information sciencesVol. X-4-2024
National Museum of China (CN), Norwegian University of Science and Technology (NO), Beijing Normal University (CN), Beijing University of Civil Engineering and Architecture (CN)
Sustainable cities and communities
Openalex Percentile: Top 41%
Human Motion and Animation
0.33
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The Framework of Modeling Buddhist Head in 3D with Semantic Information — Huabiao Li, Hongchao Fan, et al. · ISPRS annals of the photogrammetry, remote sensing and spatial information sciences (2024) | TGRS Research Map | TGRS