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Automated generation of archeological line drawings from sculpture point cloud based on weighted centroid projection
by
Zhu, Jin
, Yang, Juntao
, Cui, Hao
, Wu, Hao
, Han, Guohe
, Li, Jian
in
Algorithms
/ Archaeology
/ Architecture
/ Automation
/ Centroids
/ Chemistry and Materials Science
/ Concavity
/ Convexity
/ Cultural heritage
/ Digital preservation
/ Materials Science
/ Methods
/ Morphology
/ Photogrammetry
/ Sculpture
/ Sensors
/ Statuary
2025
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Automated generation of archeological line drawings from sculpture point cloud based on weighted centroid projection
by
Zhu, Jin
, Yang, Juntao
, Cui, Hao
, Wu, Hao
, Han, Guohe
, Li, Jian
in
Algorithms
/ Archaeology
/ Architecture
/ Automation
/ Centroids
/ Chemistry and Materials Science
/ Concavity
/ Convexity
/ Cultural heritage
/ Digital preservation
/ Materials Science
/ Methods
/ Morphology
/ Photogrammetry
/ Sculpture
/ Sensors
/ Statuary
2025
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While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Automated generation of archeological line drawings from sculpture point cloud based on weighted centroid projection
by
Zhu, Jin
, Yang, Juntao
, Cui, Hao
, Wu, Hao
, Han, Guohe
, Li, Jian
in
Algorithms
/ Archaeology
/ Architecture
/ Automation
/ Centroids
/ Chemistry and Materials Science
/ Concavity
/ Convexity
/ Cultural heritage
/ Digital preservation
/ Materials Science
/ Methods
/ Morphology
/ Photogrammetry
/ Sculpture
/ Sensors
/ Statuary
2025
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Automated generation of archeological line drawings from sculpture point cloud based on weighted centroid projection
Journal Article
Automated generation of archeological line drawings from sculpture point cloud based on weighted centroid projection
2025
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Overview
Archeological line drawings are essential in archeological research, providing visual representations of artifact morphology and precise geometric measurements. Traditionally, these drawings were meticulously created by hand, a process that is time-consuming and labor-intensive. To overcome these limitations, this paper presents an algorithm for extracting feature lines from sculpture point cloud, enabling the automated generation of archeological line drawings. The method introduces a weighted centroid-based geometric metric to identify surface feature points and classify them based on their concavity or convexity. An iterative refinement process is then applied to ensure that feature points align correctly along the feature lines, and boundary points are extracted using an angular criterion. Finally, an enhanced curve-growing algorithm connects the feature and boundary points, producing a 3D line drawing. Experiments conducted on various stone sculptures demonstrate the practicality and accuracy of the proposed approach, with results showing significant improvements over existing methods.
Publisher
Springer International Publishing,Nature Publishing Group
Subject
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