Integration of Digital Images and Laser Scanning Data for the Survey of Architectural Objects

• Autorzy: Mikrut S.
• Języki publikacji: EN

Abstrakty

EN

The goal of integration is to utilize a spatial model of an object obtained from the cloud of points and, possibly, to support it with a photogrammetric model in those places, where scanner measurements may be hard to perform, or even impossible. Since the image offers a possibility of texturing objects obtained most often from digital metric images, integration makes it possible to create a model of a view resembling the actual one. Another advantage of a photogrammetric model is the possibility of obtaining object edges with high accuracy (due to, among other things, the application of sub-pixel algorithms). It is just that aspect which, in relation to scanning, is described in the paper. The correctness of locating objects, which have been extracted from points, is tested by placing them on a photogrammetric model. In the proposed method, the authors tested extraction of objects, which was based on methods using the first and the second derivatives of a digital image. Those algorithms had been developed and tested earlier in many engineering projects that were based on a multilevel analysis of digital images. Research works were performed on several selected test facilities, located in the open-air ethnographic museum at Tokarnia, Poland.

Słowa kluczowe

EN

digital images; photogrammetric image; scanning

• Wydawca: Instytut Telekomunikacji i Informatyki Uniwersytetu Technologiczno-Przyrodniczego w Bydgoszczy
• Czasopismo: Image Processing & Communications
• Rocznik: 2012
• Tom: Vol. 17, no. 4
• Strony: 161--166
• Opis fizyczny: Bibliogr. 10 poz., rys.

Twórcy

autor

Mikrut S.

• AGH University of Science and Technology, Department of Geoinformation, Photogrammetry and Remote Sensing of Environment

Bibliografia

• [1] R. Tadeusiewicz, P. Korohoda, Computer analyses and image processing, Publisher of Progress and Telecommunications Foundation, Cracow, Poland, pp. 94-95, 1997
• [2] S. Mikrut, The influence of scanning and JPEG compression on point and linear feature extraction, Doctoral thesis, AGH, Cracow, Poland, 2003
• [3] Y. Lee, S. Park, Y. Jun, C. Choi, A robust approach to edge detection of scanned point data, Adv Manuf Technol. Springer-Verlag London, 2004
• [4] A. Makadia, A. IV Patterson, K. Daniilidis, Fully Automatic registration of 3D Point Cloud, CVPR Proceedings of the IEEE Computer Society Conference on Computer vision and pattern recognition, 2006
• [5] C. Weber, S. Hahmann, H. Hagen, Method for feature Detection in Point Clouds, Visualization of Large und Ustructured Data Sets - IRTG Workshop, 2010
• [6] Ch. Sok, M.D. Adams, Visually Aided Feature from 3D Range Data, IEEE International Conference on Robotics and Automation, Anchorage, Alaska, USA, 2010
• [7] R.Wang, X. Lai, W. Hou, Study on Detection of LIDAR Point Cloud, International Conference on Intelligent Computation and Bio-Medical Instrumentation, 2011
• [8] N. Kochi, K. Kitamura, T. Sasaki, S. Kaneko, 3D modeling of architecture by edge-matching and integrating the point clouds of laser scanner and those of digital camera, ISPRS Archives of Photogrammetry, Remote Sensing and Spatial Informaction Sciences, Vol. XXXVII, Malbourne, Australia, 2012
• [9] U. Marmol, Use of Gabor filters for texture classification of airborne images and LIDAR data, Archives of Photogrammetry, Cartography and Remote Sensing, Vol. 22, Cracow, Poland, 2011
• [10] A. Moskal, Inventory of the historic objects using laser skaning and photogrammetry method, Master’s thesis, AGH, Cracow, Poland, 2011