Integration of Image and Laser Scanning Data Based on Selected Example

• Autorzy: Mikrut, S. , Moskal, A. , Marmol, U.
• Języki publikacji: EN

Abstrakty

EN

The paper aims at presentation of results of research on integration of image and laser data based on selected example. Since a few years the authors have been conducting research on processing image data, and those obtained from laser scanning in the form of the so-called point cloud. In experiments data from terrestrial and mobile laser scanning gained for two different objects were compared: a parish house from Goźlice located in the open-air ethnographic museum at the village of Tokarnia, Poland, and part of the Cracow-Warsaw railway line. The results of those experiments proved that data in the form of point cloud were not always sufficient for a precise 3D model reconstruction. Supplementing point clouds with photogrammetric images seems to be the best solution.

Słowa kluczowe

EN

3D modelling; image data; laser data

• Czasopismo: Image Processing & Communications
• Rocznik: 2014
• Tom: Vol. 19, no. 2-3
• Strony: 37--44
• Opis fizyczny: Bibliogr. 10 poz., rys.

Twórcy

autor

Mikrut, S.

• AGH University of Science and Technology, al. Mickiewicza 30, 30-059 Kraków,

autor

Moskal, A.

• AGH University of Science and Technology, al. Mickiewicza 30, 30-059 Kraków,

autor

Marmol, U.

• AGH University of Science and Technology, al. Mickiewicza 30, 30-059 Kraków

Bibliografia

• [1] Hirschmüller, H. (2008). Stereo processing by semi-global matching and mutual information. IEEE Transactions on Pattern Analysis and Machine Intelligence, 30(2)
• [2] Kochi, N., Kitamura, K., Sasaki, T., Kaneko, S. 3d modelling 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, XXXVII
• [3] Lee, Y., Park, S., Jun, Y., Choi, C. (2004). A robust approach to edge detection of scanned point data. The International Journal of Advanced Manufacturing Technology, 23(3-4), 263-271
• [4] Makadia, A., Patterson IV, A., . Daniilidis, K. (2006). Fully automatic registration of 3d point cloud. In CVPR Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
• [5] Mikrut, S. (2003). The influence of scanning and JPEG compression on point and linear feature extraction. PhD thesis, AGH, Cracow
• [6] Mikrut, S. (2012). Integration of digital images and laser scanning data for the survey of architectural objects. Image Processing & Communications : an International Journal, 17(4)
• [7] Moskal, A. (2011). Inventory of the historic objects using laser scanning and photogrammetry method. Master’s thesis, AGH, Cracow,
• [8] Sok, Ch., Adams, M.D. (2010). Visually aided feature from 3d range data. In IEEE International Conference on Robotics and Automation
• [9] Wang, R., Lai, X., Hou, W. (2011). Study on detection of lidar point cloud. In International Conference on Intelligent Computation and Bio-Medical Instrumentation
• [10] Weber, C., Hahmann, S., Hagen, H. (2010). Methods for feature detection in point clouds. In IRTG Workshop