Image Processing and Feature Extraction for Building Information Modelling

Caitlin McHugh; Samsung Lim

GSDI Conferences, GSDI 15 World Conference

Caitlin McHugh, Samsung Lim

Last modified: 2016-09-13

Abstract

As-built Building Information Models (BIMs) have the potential to improve construction performance by replacing conventional documentation, facilitating greater access to site information and providing more accurate representations than models based on CAD drawings. Applications using as-built BIMs to improve construction processes rely on efficient and accurate collection of data to emulate the dynamic nature of a construction site. Current methods used to collect and process data for building information models are time intensive or require specialist equipment. In contrast, applications based on computer vision only require a digital camera and can be run on a personal computer. The main aim of this study is to investigate the use of image processing to extract information about building geometries. In this paper, popular feature extraction algorithms in obtaining information about façade geometries such as corners and edges were assessed. The feasibility of identifying areas of windows from extracted geometries was also investigated, as locations and areas of windows are important in the energy analysis of existing buildings. A number of promising results were produced, however, further work is required before feature extraction can be considered as a viable alternative for collecting information for as-built BIMs.

Keywords

image processing; feature extraction; building information modelling; facade geometry

References

BECERIK-GERBER, B., JAZIZADEH, F., LI, N. & CALIS, G. 2011. Application areas and data requirements for BIM-enabled facilities management. Journal of construction engineering and management, 138, 431-442.
BHATLA, A., CHOE, S. Y., FIERRO, O. & LEITE, F. 2012. Evaluation of accuracy of as-built 3D modeling from photos taken by handheld digital cameras. Automation in construction, 28, 116-127.
BÖHM, J. 2004. Multi-image fusion for occlusion-free façade texturing. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 35, 867-872.
BOUKAMP, F. & AKINCI, B. 2007. Automated processing of construction specifications to support inspection and quality control. Automation in Construction, 17, 90-106.
CANNY, J. 1986. A computational approach to edge detection. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 679-698.
CHUANG, Y.-Y., CURLESS, B., SALESIN, D. H. & SZELISKI, R. A bayesian approach to digital matting. Computer Vision and Pattern Recognition, 2001. CVPR 2001. Proceedings of the 2001 IEEE Computer Society Conference on, 2001. IEEE, II-264-II-271 vol. 2.
DAVIES, E. R. 2012. Computer and machine vision: theory, algorithms, practicalities, Academic Press.
DAVIS, L. S. 1975. A survey of edge detection techniques. Computer Graphics and Image Processing, 4, 248-270.
DELIS, E. A. & DELIS, A. 1995. Automatic fire-code checking using expert-system technology. Journal of computing in civil engineering, 9, 141-156.
DERICHE, R. & GIRAUDON, G. 1993. A computational approach for corner and vertex detection. International journal of computer vision, 10, 101-124.
ERNSTROM, J. W. 2006. The contractors' guide to BIM, Associated General Contractors of America.
FANG, M., YUE, G. & YU, Q. The study on an application of otsu method in canny operator. International Symposium on Information Processing (ISIP), 2009. Citeseer, 109-112.
FRAM, J. R. & DEUTSCH, E. S. 1975. On the quantitative evaluation of edge detection schemes and their comparison with human performance. Computers, IEEE Transactions on, 100, 616-628.
FRUEH, C., JAIN, S. & ZAKHOR, A. 2005. Data processing algorithms for generating textured 3D building facade meshes from laser scans and camera images. International Journal of Computer Vision, 61, 159-184.
GHISI, E. & TINKER, J. A. 2005. An ideal window area concept for energy efficient integration of daylight and artificial light in buildings. Building and environment, 40, 51-61.
GRADY, L., SCHIWIETZ, T., AHARON, S. & WESTERMANN, R. Random walks for interactive alpha-matting. Proceedings of VIIP, 2005. 423-429.
GREGSON, P. 1993. Using angular dispersion of gradient direction for detecting edge ribbons. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 15, 682-696.
HANCOCK, E. R. & KITTLER, J. Adaptive estimation of hysteresis thresholds. Computer Vision and Pattern Recognition, 1991. Proceedings CVPR'91., IEEE Computer Society Conference on, 1991. IEEE, 196-201.
HARRIS, C. & STEPHENS, M. A combined corner and edge detector. Alvey vision conference, 1988. Manchester, UK, 50.
HEATH, M., SARKAR, S., SANOCKI, T. & BOWYER, K. Comparison of edge detectors: a methodology and initial study. Computer Vision and Pattern Recognition, 1996. Proceedings CVPR'96, 1996 IEEE Computer Society Conference on, 1996. IEEE, 143-148.
KHALLIL, M. & AGGOUN, A. Edge detection using adaptive local histogram analysis. Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on, 2006. IEEE, II-II.
KIM, H., SAKAMOTO, R., KITAHARA, I., TORIYAMA, T. & KOGURE, K. Robust silhouette extraction technique using background subtraction. 10th Meeting on Image Recognition and Understand, MIRU, 2007.
KITCHEN, L. & ROSENFELD, A. 1980. Gray-level corner detection. DTIC Document.
LEE, S. C. & NEVATIA, R. Extraction and integration of window in a 3D building model from ground view images. Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings of the 2004 IEEE Computer Society Conference on, 2004. IEEE, II-113-II-120 Vol. 2.
MEDINA-CARNICER, R., MADRID-CUEVAS, F. J., CARMONA-POYATO, A. & MUÑOZ-SALINAS, R. 2009. On candidates selection for hysteresis thresholds in edge detection. Pattern Recognition, 42, 1284-1296.
MELZNER, J., ZHANG, S., TEIZER, J. & BARGSTÄDT, H.-J. 2013. A case study on automated safety compliance checking to assist fall protection design and planning in building information models. Construction Management and Economics, 31, 661-674.
MOKHTARIAN, F. & MOHANNA, F. 2006. Performance evaluation of corner detectors using consistency and accuracy measures. Computer Vision and Image Understanding, 102, 81-94.
MORAVEC, H. P. 1980. Obstacle avoidance and navigation in the real world by a seeing robot rover. DTIC Document.
MORTENSEN, E. N. & BARRETT, W. A. Intelligent scissors for image composition. Proceedings of the 22nd annual conference on Computer graphics and interactive techniques, 1995. ACM, 191-198.
PERSSON, M.-L., ROOS, A. & WALL, M. 2006. Influence of window size on the energy balance of low energy houses. Energy and Buildings, 38, 181-188.
RAMESH, T., PRAKASH, R. & SHUKLA, K. 2010. Life cycle energy analysis of buildings: An overview. Energy and Buildings, 42, 1592-1600.
ROTHER, C., KOLMOGOROV, V. & BLAKE, A. Grabcut: Interactive foreground extraction using iterated graph cuts. ACM Transactions on Graphics (TOG), 2004. ACM, 309-314.
SHAW, D. & BARNES, N. Perspective rectangle detection. Proceedings of the Workshop of the Application of Computer Vision, in conjunction with ECCV 2006, 2006. Citeseer, 119-127.
SIRMACEK, B., HOEGNER, L. & STILLA, U. Detection of windows and doors from thermal images by grouping geometrical features. Urban Remote Sensing Event (JURSE), 2011 Joint, 2011. IEEE, 133-136.
SOBEL, I. & FELDMAN, G. 1968. A 3x3 isotropic gradient operator for image processing.
STAUFFER, C. & GRIMSON, W. E. L. Adaptive background mixture models for real-time tracking. Computer Vision and Pattern Recognition, 1999. IEEE Computer Society Conference on., 1999. IEEE.
SUN, J., JIA, J., TANG, C.-K. & SHUM, H.-Y. Poisson matting. ACM Transactions on Graphics (ToG), 2004. ACM, 315-321.
TOYAMA, K., KRUMM, J., BRUMITT, B. & MEYERS, B. Wallflower: Principles and practice of background maintenance. Computer Vision, 1999. The Proceedings of the Seventh IEEE International Conference on, 1999. IEEE, 255-261.
TUCERYAN, M. & JAIN, A. K. 1998. Texture analysis. The handbook of pattern recognition and computer vision, 2, 207-248.
WANG, J. & COHEN, M. F. 2008. Image and video matting: a survey, Now Publishers Inc.
WENZEL, S., DRAUSCHKE, M. & FÖRSTNER, W. 2008. Detection of repeated structures in facade images. Pattern Recognition and Image Analysis, 18, 406-411.
ZHENG, Z., WANG, H. & TEOH, E. K. 1999. Analysis of gray level corner detection. Pattern Recognition Letters, 20, 149-162.
ZIOU, D. & TABBONE, S. 1998. Edge detection techniques-an overview. Pattern Recognition And Image Analysis C/C Of Raspoznavaniye Obrazov I Analiz Izobrazhenii, 8, 537-559.

An account with this site is required in order to view papers. Click here to create an account.