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Segmentacija in rekonstrukcija kulturne dediščine iz fotogrametrično pridobljenega oblaka točk
ID STOPINŠEK, ŽIGA (Author), ID Solina, Franc (Mentor) More about this mentor... This link opens in a new window

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Abstract
V magistrskem delu smo se osredotočili na problematiko rekonstrukcije in segmentacije kulturne dediščine iz fotogrametrično pridobljenih oblakov točk. Opisali smo metodologijo arheološke 3D dokumentacije dediščine na suhem in pod vodo, povzeli sodobne tehnike rekonstrukcije in segmentacije prostora ter pripravili pregled primerov in izzivov računalniške podpore arheologiji. Posodobili smo orodje za segmentacijo s superelipsoidi in ga vključili v okolje Meshlab. Implementirali smo tudi nadzorovano postavitev začetnih semen za segmentacijo ter metodo deformacije superelipsoida, primerno za modeliranje teles amfor ter drugih vaz in posod. Rekonstruirali smo številne superelipsoide iz 3D modelov najdišč na suhem in pod vodo ter na spletu dostopnih amfor.

Language:Slovenian
Keywords:računalniški vid, 3D, segmentacija, 3D rekonstrukcija, kulturna dediščina, podvodna arheologija, superkvadriki, deformirani superelipsoidi, sarkofagi, opeka, amfore
Work type:Master's thesis/paper (mb22)
Organization:FRI - Faculty of computer and information science
Year:2016
Publication date in RUL:13.09.2016
Views:1038
Downloads:295
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Secondary language

Language:English
Title:Segmentation and reconstruction of cultural heritage based on photogrammetric point clouds
Abstract:
In this thesis we focus on reconstruction and segmentation of cultural heritage based on photogrammetric point clouds. We present the methodology of archaeological 3D documentation on land and underwater, state-of-the-art reconstruction and segmentation techniques, and prepare an overview of use cases and current issues in computer science in archaeology. We updated Segmentor, a tool for segmentation with superellipsoids, ported it into a library and included it as a plugin in 3D modelling tool Meshlab, a well established tool for 3D modelling. We implemented a supervised method of creating initial seeds for segmentation and a global deformation method for superellipsoids, suitable for modelling amphoras and similar artifacts. We reconstructed a dozen of superellipsoids from 3D models of archaeological sites and of different amphoras accessible on the web.

Keywords:computer vision, 3D, segmentation, 3D modelling, cultural heritage, underwater archaeology, superquadrics, deformed superellipsoids, sarcophagi, stone bricks, amphoras

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