Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-5/W1, 197-204, 2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
13 Feb 2013
M. Previtali1, L. Barazzetti1, R. Brumana1, B. Cuca1, D. Oreni1, F. Roncoroni2, and M. Scaioni3 1Politecnico di Milano, Department of Architecture, Built Environment and Construction Engineering Via Ponzio 31, 20133 Milano, Italy
2Politecnico di Milano, Polo Territoriale di Lecco, Via Marco D'Oggiono 18/A, Lecco, Italy
3Tongji University, College of Surveying and Geo-Informatics 1239 Siping Road, 200092 Shanghai, P.R. China
Keywords: Façade segmentation, Laser scanning, Texturing, Thermal images Abstract. In this paper we present an automated method to derive highly detailed 3D vector models of modern building façades from terrestrial laser scanning data. The developed procedure can be divided into two main steps: firstly the main elements constituting the façade are identified by means of a segmentation process, then the 3D vector model is generated including some priors on architectural scenes. The identification of main façade elements is based on random sampling and detection of planar elements including topology information in the process to reduce under- and over-segmentation problems. Finally, the prevalence of straight lines and orthogonal intersections in the vector model generation phase is exploited to set additional constraints to enforce automated modeling. Contemporary a further classification is performed, enriching the data with semantics by means of a classification tree. The main application field for these vector models is the design of external insulation thermal retrofit. In particular, in this paper we present a possible application for energy efficiency evaluation of buildings by mean of Infrared Thermography data overlaid to the façade model.
Conference paper (PDF, 723 KB)

Citation: Previtali, M., Barazzetti, L., Brumana, R., Cuca, B., Oreni, D., Roncoroni, F., and Scaioni, M.: AUTOMATIC FAÇADE SEGMENTATION FOR THERMAL RETROFIT, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-5/W1, 197-204,, 2013.

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