Please use this identifier to cite or link to this item: http://hdl.handle.net/11400/5842
Title: Towards the mathematic formalization of parametric generalized cylinders and initial results in modeling 3D image data
Authors: Κεχρινιώτης, Αριστείδης Ι.
Δελήμπασης, Κωνσταντίνος Κ.
Τσώνος, Χρήστος
Ασημάκης, Νικόλαος Δ.
Ασβεστάς, Παντελής Α.
Item type: Conference publication
Conference Item Type: Full Paper
Keywords: Computer vision;Optimisation;Υπολογιστική όραση;Βελτιστοποίηση
Subjects: Medicine
Biomedical engineering
Ιατρική
Βιοϊατρική τεχνολογία
Issue Date: 8-Feb-2015
2009
Publisher: IEEE
Abstract: Generalized cylinders (GCs) have been proposed in computer vision for object modeling in two dimensional images. However approaches so far have not investigated closed form solutions, based on a formal generic definition that covers every possible family of surfaces. In this work we derive the parametric definition of the torus-like surface that is generated when moving a planar closed curve along a three dimensional curve and provide the analytical solution for the distance of an arbitrary point from the surface. As an application, a family of surfaces that approximate a long bone is selected and analytical parametric equations are derived. The measure of match (MoM) between the parametric surface of GC and a three-dimensional (3D) image is defined, using the previously derived analytic parametric equation. The MoM is sampled along pairs of surface shape controlling parameters and its unimodality is evaluated for synthetic 3D image, under various levels of Gaussian noise. Finally, a global optimization technique is applied to determine shape controlling parameter values to fit the synthetic 3D image data.
Description: Proceedings
Language: English
Citation: Kechriniotis, A., Delibasis, K., Tsonos, C., Assimakis, N. and Asvestas, P. (2009). Towards the mathematic formalization of parametric generalized cylinders and initial results in modeling 3D image data. In the 16th International Conference on Systems, Signals and Image Processing. Chalkida, 18th-20th June 2009. pp. 1-5. IEEE.
Conference: International Conference on Systems, Signals and Image Processing
Access scheme: Embargo
License: Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες
URI: http://hdl.handle.net/11400/5842
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