Abstract
Infrared (IR) images depict thermal radiation of physical objects. Imaging the building hull with an IR camera allows thermal inspections. Mapping these images as textures on 3D building models, 3D geo-referencing of each pixel can be carried out. This is helpful for large area inspections. In IR images glass reflects the surrounding and shows false results for the temperature measurements. Consequently, the windows should be detected in IR images and excluded for the inspection. In this paper, an algorithm for window detection in textures extracted from terrestrial IR images is proposed. First, a local dynamic threshold is used to extract candidates for windows in the textures. Assuming a regular grid of windows masked correlation is used to find the position of windows. Finally, gaps in the window grid are replaced by hypothetical windows. Applying the method for a test dataset, 79% completeness and 80% correctness was achieved.
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References
Avbelj, J., Iwaszczuk, D., Stilla, U.: Matching of 3D wire-frame building models with image features from infrared video sequences taken by helicopters. In: Proceedings of PCV 2010 - Photogrammetric Computer Vision and Image Analysis. International Archives of Photogrammetry, Remote Sensing and Spatial Geoinformation Sciences, vol. 38(3B), pp. 149–154 (2010)
Baden, S., Fairey, P., Waide, P., Laustsen, J.: Hurdling Financial Barriers to Lower Energy Buildings: Experiences from the USA and Europe on Financial Incentives and Monetizing Building Energy Savings in Private Investment Decisions. In: Proceedings of 2006 ACEEE Summer Study on Energy Efficiency in Buildings. American Council for an Energy Efficient Economy, Washington DC (2006)
Becker, S.: Generation and application of rules for quality dependent facade reconstruction. ISPRS Journal of Photogrammetry and Remote Sensing 64(6), 640–653 (2009)
Bénitez, S., Denis, E., Baillard, C.: Automatic Production of Occlusion-Free Rectified Façade Textures using Vehicle-Based Imagery. In: Proceedings of PCV 2010 - Photogrammetric Computer Vision and Image Analysis. International Archives of Photogrammetry, Remote Sensing and Spatial Geoinformation Sciences, vol. 38(3A), pp. 275–280 (2010)
Chandler, D.L.: The big picture on energy loss. MIT news, Massachusetts Institute of Technology, March 16 (2011), http://web.mit.edu/newsoffice/2011/ir-scanning-energy-0316.html (access on June 30, 2011)
Dick, A., Torr, P., Cipolla, R., Ribarsky, W.: Modelling and interpretation of architecture from several images. International Journal of Computer Vision 60(2), 111–134 (2004)
Eugster, H., Nebiker, S.: Real-time georegistration of video streams from mini or micro UAS using digital 3D city models. In: Proceedings of 6th International Symposium on Mobile Mapping Technology, Presidente Prudente, São Paulo, Brazil (2009)
Frueh, C., Sammon, R., Zakhor, A.: Automated Texture Mapping of 3D City Models With Oblique Aerial Imagery. In: Proceedings of the 2nd International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT 2004), Thessaloniki, Greece (2004)
Green, P.: Reversible Jump Markov Chain Monte Carlo Computation and Bayesian Model Determination. Biometrika 82, 711–732 (1995)
Hennigan, M.: Supply of heat accounts for 47% of energy consumption says IEA - - largely ignored in climate change debate. In: Finfacts Ireland’s Business & Finance Portal, http://www.finfacts.ie/irishfinancenews/article_1022290.shtml (access on June 30, 2011)
Hoegner, L., Kumke, H., Meng, L., Stilla, U.: Automatic extraction of textures from infrared image sequences and database integration for 3D building models. PFG Photogrammetrie Fernerkundung Geoinformation (6), 459–468 (2007)
Hoegner, L., Stilla, U.: Thermal leakage detection on building façades using infrared textures generated by mobile mapping. In: Proceedings of Joint Urban Remote Sensing Event (JURSE 2009). IEEE, Shanghai (2009)
Leibe, B., Schiele, B.: Combined Object Categorization and Segmentation with an Implicit Shape Model. In: Proceedings of ECCV 2004 Workshop on Statistical Learning in Computer Vision, Prague, Czech Republic, pp. 1–15 (2004)
Li, R.: Mobile Mapping - An Emerging Technology for Spatial Data Acquisition. Journal of Photogrammetric Engineering and Remote Sensing 63(9), 1085–1092 (1997)
Reznik, S., Mayer, H.: Implicit Shape Models, Model Selection, and Plane Sweeping for 3D Facade Interpretation. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 36(3/W49A), 173–178 (2007)
Ripperda, N.: Grammar Based Facade Reconstruction using RjMCMC. PFG Photogrammetrie Fernerkundung Geoinformation (2), 83–92 (2008)
Sirmacek, B., Hoegner, L., Stilla, U.: Detection of windows and doors from thermal images by grouping geometrical features. In: Stilla, U., Gamba, P., Juergens, C., Maktav, D. (eds.) JURSE 2011 - Joint Urban Remote Sensing Event, pp. 133–136 (2011)
Stilla, U.: Verfahrensvergleich zur automatischen Erkennung in Metall geschlagener Zeichen. Universität, Fakultät für Elektrotechnik, Karlsruhe, Dissertation (1993)
Stilla, U., Kolecki, J., Hoegner, L.: Texture mapping of 3D building models with oblique direct geo-referenced airborne IR image sequences. In: Proceedings of ISPRS Hannover Workshop 2009: High-resolution Earth Imaging for Geospatial Information. International Archives of Photogrammetry, Remote Sensing and Spatial Geoinformation Sciences, vol. 38(1-4-7/W5) on CD (2009)
Tuttas, S., Stilla, U.: Window detection in sparse point clouds using indoor points. In: PIA11Photogrammetric Image Analysis. International Archives of Photogrammetry, Remote Sensing and Spatial Geoinformation Sciences, vol. 37(3/W22) on CD (2011)
Werner, T., Zisserman, A.: New Techniques for Automated Architectural Reconstruction from Photographs. In: Heyden, A., Sparr, G., Nielsen, M., Johansen, P. (eds.) ECCV 2002. LNCS, vol. 2351, pp. 541–555. Springer, Heidelberg (2002)
Yastikli, N., Jacobsen, K.: Direct sensor orientation for large scale mapping – potentials, problems, solutions. The Photogrammetric Record 20(111), 274–284 (2005)
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Iwaszczuk, D., Hoegner, L., Stilla, U. (2011). Detection of Windows in IR Building Textures Using Masked Correlation. In: Stilla, U., Rottensteiner, F., Mayer, H., Jutzi, B., Butenuth, M. (eds) Photogrammetric Image Analysis. PIA 2011. Lecture Notes in Computer Science, vol 6952. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24393-6_12
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DOI: https://doi.org/10.1007/978-3-642-24393-6_12
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