Institutional Repository [SANDBOX]
Technical University of Crete
EN  |  EL

Search

Browse

My Space

Reduction of building façade model complexity using computer vision

Paravolidakis Vasileios, Bacharidis Konstantinos, Sarri Effrosyni, Ragia Lemonia, Zervakis Michail

Simple record


URIhttp://purl.tuc.gr/dl/dias/2F6D8114-1A5E-4475-B881-9BB071C0C418-
Identifierhttps://ieeexplore.ieee.org/document/7738269/-
Identifierhttps://doi.org/10.1109/IST.2016.7738269-
Languageen-
Extent6 pagesen
TitleReduction of building façade model complexity using computer visionen
CreatorParavolidakis Vasileiosen
CreatorΠαραβολιδακης Βασιλειοςel
CreatorBacharidis Konstantinosen
CreatorΜπαχαριδης Κωνσταντινοςel
CreatorSarri Effrosynien
CreatorΣαρρη Ευφροσυνηel
CreatorRagia Lemoniaen
CreatorΡαγια Λεμονιαel
CreatorZervakis Michailen
CreatorΖερβακης Μιχαηλel
PublisherInstitute of Electrical and Electronics Engineersen
Content Summary3D Building façade reconstruction enables the implementation of delicate actions related to restoration, support and presentation of architectural structures. In particular, model complexity can be significantly reduced through the incorporation of computer vision and image processing tools, aiming towards the estimation of structural 3D feature characteristics instead of their actual GPS specification. In this paper we present a strategy for constructing reduced-complexity 3D models, which combines stereo vision images and morphological processing methods. Initially, the building skeleton is extracted and modeled with the use of Hough transformation and Active Contours. Subsequently, the building's façade depth map is derived using the stereo camera layout, for the refinement of inner skeleton details, such as the protrusion of windows or doors. These image-driven features are fused with Georeferenced data in order to complete the full building's skeleton model. The proposed reconstruction framework is tested on the site of Neoria buildings, a historical (Venetian) site in Chania, Crete, Greece.en
Type of ItemΠλήρης Δημοσίευση σε Συνέδριοel
Type of ItemConference Full Paperen
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2018-06-27-
Date of Publication2016-
Subject3D building reconstructionen
SubjectActive contours modelen
SubjectFusion of camera with geo-reference dataen
SubjectStereo visionen
Bibliographic CitationV. Paravolidakis, K. Bacharidis, F. Sarri, L. Ragia and M. Zervakis, "Reduction of building façade model complexity using computer vision," in IEEE International Conference on Imaging Systems and Techniques, pp. 454-459, 2016. doi: 10.1109/IST.2016.7738269en

Services

Statistics