Algorithms and tools for deriving editable models from cross-sectional data setss (Doctoral thesis)

Κυριαζής, Ιωάννης

We present a novel method for reconstructing the surface of a 3D object using as input only a point cloud of its surface scan. The objective is to obtain an editable CAD model that is manufacturable and describes accurately the structure and topology of the point cloud. This model will provide a high level representation of the actual object, which can also be modified with the use of a set of editing operators we have defined. The entire method is performed in three phases: the segmentation of the point cloud, the reconstruction of the model and the editing process. In the segmentation phase, the point cloud is sliced into cross sections, which are later on treated as 2D point sets. Several parameters of the slicing procedure influence the resulting model, and have to be set properly to ensure high quality output, such as the slicing direction and the thickness of the cross sections. The reconstruction phase includes several procedures that take as input the cloud points of the cross sections and provide as output a model of the 3D object, with high level features and properties that can be used for further processing. The boundary of each cross section is represented as a set of feature points, which form a poly-line. This poly-line is then interpolated by a smooth continuous curve. The curves are combined with each other to form the surface of the final 3D model. For the editing process, we have implemented a set of editing operators, which can be applied either to the entire model, or on a part of it, to deform its surface in various ways. As a point of reference for these editing operators, a given point may be used on the interpolating curve computed from the centroids of the cross sections. We call it the curve of centroids and it is a form of skeleton curve for the model. The editing operators vary from general purpose transformations to high level editing operators addressed to cross sectional data sets used in medical research.
Institution and School/Department of submitter: Πανεπιστήμιο Ιωαννίνων. Πολυτεχνική Σχολή. Τμήμα Μηχανικών Η/Υ & Πληροφορικής
Subject classification: Reverse engineering
Keywords: Ανάστροφη μηχανική,3Δ μοντέλα,Νέφος σημείων,Εγκάρσιες τομές,Χαρακτηριστικά σημεία,Κυρτό περίβλημα,Διάγραμμα voronoi,Ανακατασκευή επιφανειών,Μετασχηματισμοί,Επεξεργασία,Τελεστές,Reverse engineering,3D models,Point cloud,Cross sections,Feature points,Convex hull,Voronoi diagram,Surface reconstruction,Transformations,Editing,Operators
Appears in Collections:Διδακτορικές Διατριβές

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