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Automatic indexation of Cultural Heritage 3D object

Le-Tien Mau, Nguyen-Thanh Khoi, Raffin Romain

Computer Science

2025

T. 26 (1)

5--25

There has been significant evolution in the fields of 3D digitization thanks tothe development of 3D reconstruction and geometry processing. The resultsof digitization researches have been widely applied in many fields, especiallyin Cultural Heritage and Archaeology. Reconstruction, characterization andannotation of components forming 3D objects have become an effective tool forresearch, conservation and promotion of archaeological relics. The aim of thispaper is to propose a process of 3D model reconstruction, segmentation andannotation on the basis of a enhanced corresponding 2D dataset. A machinelearning method is used for the semantic segmentation of 2D images, therebylabel, annotate and reconstruct a 3D model based upon links between distinctive invariant features, orientation of images, and depth map of images. Theinitial result as a data basis for research, reconstruction and identification ofparts in 3D objects is applied in the reconstruction of archaeological relics, object identification, 3D printing, etc. Our work uses the data collected from theMuseum of Cham Sculpture DaNang and the Myson QuangNam sanctuary inVietNam, to carry out the proposed method.