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Identifier 000454376
Title Reconstruction of 3D objects from multiple scanners
Alternative Title Ανακατασκευή 3Δ αντικειμένων από πολλαπλούς σαρωτές
Author Κυριαζής, Ευστάθιος Α.
Thesis advisor Στεφανίδης, Κωνσταντίνος
Reviewer Ζαμπούλης, Ξενοφών
Αργυρός, Αντώνιος
Abstract Today, multiple scanning modalities exist, which have different properties when it comes to the reconstruction of objects with geometrical accuracy and photometric fidelity. Some scanning modalities are better at reconstructing the texture and others are better at reconstructing the 3D geometry of the scanned surfaces. Also, the practical need for a supporting surface for the placement of the object to be digitized prevents the creation of geometrically complete object reconstructions from a single scan. In this thesis, we present a fully automatic method for creating high-quality, complete reconstructions of 3D objects through the combination of geometrical and texture information from multiple scanning modalities and two scanning postures of the object of interest. The focus of this work is placed on exploiting the geometric accuracy of 3D scanners with the photometric fidelity of photogrammetric methods. Emphasis is placed on texture continuity as it is, usually, the main problem in the appreciation of 3D model quality. The proposed approach uses numerical optimization to improve texture continuity across photographic views and partial 3D scans of the object. We test the proposed method in the common task of scanning small-sized objects on a conventional scan table. We qualitatively evaluate the results of the proposed method in two data sets that we created for this purpose. The obtained results demonstrate that the proposed method is a simple-to-use solution to create high-quality scans using conventional means. With the use of a prescribed setup, the proposed method is automatic and alleviates the need for manual postprocessing of the obtained 3D models.
Language English
Subject 3D scan
3Δ ψηφιοποίηση
Photogrammetry
Texture
Οπτική υφή
Φωτογραμμετρία
Issue date 2023-04-07
Collection   School/Department--School of Sciences and Engineering--Department of Computer Science--Post-graduate theses
  Type of Work--Post-graduate theses
Permanent Link https://elocus.lib.uoc.gr//dlib/7/5/c/metadata-dlib-1679036614-638095-10348.tkl Bookmark and Share
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