Post-graduate theses
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Identifier |
000454376 |
Title |
Reconstruction of 3D objects from multiple scanners |
Alternative Title |
Ανακατασκευή 3Δ αντικειμένων από πολλαπλούς σαρωτές |
Author
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Κυριαζής, Ευστάθιος Α.
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Thesis advisor
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Στεφανίδης, Κωνσταντίνος
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Reviewer
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Ζαμπούλης, Ξενοφών
Αργυρός, Αντώνιος
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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.
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Language |
English |
Subject |
3D scan |
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3Δ ψηφιοποίηση |
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Photogrammetry |
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Texture |
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Οπτική υφή |
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Φωτογραμμετρία |
Issue date |
2023-04-07 |
Collection
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School/Department--School of Sciences and Engineering--Department of Computer Science--Post-graduate theses
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Type of Work--Post-graduate theses
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Permanent Link |
https://elocus.lib.uoc.gr//dlib/7/5/c/metadata-dlib-1679036614-638095-10348.tkl
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Views |
33 |