Algorithms for construction digital 3D models for unique objects. (English) Zbl 1266.93168
J. Comput. Syst. Sci. Int. 50, No. 4, 625-637 (2011); translation from Izv. Ross. Akad. Nauk, Teor. Sist. Upr. 2011, No. 4, 118-131 (2011).
Summary: Problems of development and analysis of construction high-detailed digital models of an object surface are addressed. It is also supposed that simulated objects are not standard; i.e., they are bounded by a surface of a complex form, and their digital representation require generating a very large number of points. Special attention is paid to problems of constructing a hierarchical structure of algorithms, including the analysis of various strategies of condensing points and surface approximation. For a number of examples, the capabilities of the developed technique are demonstrated for various objects and different types of imagery.
MSC:
| 93E25 | Computational methods in stochastic control (MSC2010) |
| 94A08 | Image processing (compression, reconstruction, etc.) in information and communication theory |
| 93E11 | Filtering in stochastic control theory |
References:
| [1] | S. F. El-Hakim, L. Gonzo, S. Girardi, et al., ”Photo-Realistic 3D Reconstruction of Castles with Multiple-Source Image-Based Techniques,” in Proceedings of 20th ISPRS Congress, Istanbul, Turkey, 2004, Vol. 34, Part 5, pp. 120–125. |
| [2] | S. F. El-Hakim, J. A. Beraldin, M. Picard, et al., ”Detailed 3D Reconstruction of Large-Scale Heritage Sites with Integrated Techniques,” IEEE Computer Graphics & Applications 23(3), 21–29 (2004). · doi:10.1109/MCG.2004.1318815 |
| [3] | T. Kersten, C. A. Pardo, and M. Lindstaedt, ”3D Acquisition Modelling and Visualisation of North German Castles by Digital Architectural Photogrammetry,” in Proceeding of 20th ISPRS Congress, Istanbul, Turkey, 2004, Vol. 34, Part 5, 126–131. |
| [4] | F. Remondino and L. Zhang, ”Surface Reconstruction Algorithms for Detailed Close-Range Object Modelling,” in Proceedings of IAPRS&SIS, Bonn, Germany, 2006, Vol. 36, Part 3, 117–121. |
| [5] | S. El-Hakim, L. Gonzo, F. Voltolini, et al., ”Detailed 3D Modelling of Castles,” Intern. J. Architectural Computing 5(2), 199–220 (2007). · doi:10.1260/1478-0771.5.2.200 |
| [6] | F. Remondino, S. El-Hakim, A. Gruen, et al., ”Turning Images Into 3-D Models,” IEEE Signal Processing Magazine No. 6, 55–64 (2008). |
| [7] | F. Agnello and M. L. Brutto, ”Integrated Surveying Techniques in Cultural Heritage Documentation,” in Proceedings of ISPRS International Workshop 3D-ARCH on 3D Virtual Reconstruction and Visualization of Complex Architectures ETH, Zurich, Switzerland, 2007, pp. 141–147. |
| [8] | Yu. B. Blokhinov, ”Algorithms for Generation of a Digital Surface Model and Texture Covering in Ground Photogrammetry,” Izv. Vuzov Geodeziya i Aerofotos”emka, No. 1, 51–57 (2011). |
| [9] | Yu. B. Blokhinov, ”Automation of Mutual Orientation of Digital Images Based on Computer Vision Algorithms,” Izv. Ross. Akad. Nauk, Teor. Sist. Upr., No. 6, 152–163 (2003) [Comp. Syst. Sci. 49 (6), 981–991 (2010)]. |
| [10] | Yu. B. Blokhinov, D. A. Gribov, and A. S. Chernyavskii, ”Image Matching Problem for Certain Cases of Perspective Photography,” Izv. Ross. Akad. Nauk, Teor. Sist. Upr., No. 6, 129–143 (2008) [Comp. Syst. Sci. 47 (6), 959–973 (2008)]. · Zbl 1171.94305 |
| [11] | A. Lingua, D. Marenchino, and F. Nex, ”Automatic Digital Surface Model (DSM) Generation Procedure from Images Acquired by Unmanned Aerial Systems (UASs),” RevCAD J. Geodesy and Cadastre, 53–64 (2009). |
| [12] | Yu. B. Blokhinov, ”Methods of Automatic Postprocessing of DRM,” Izv. Vuzov Geodeziya i Aerofotos”emka, No. 2, 61–67 (2011). |
| [13] | A. Goshtasby and K. Page, ”Image Matching by a Probabilistic Relaxation Labeling Process,” in Proceedings of 7th International Conference on Pattern Recognition, Montreal, Canada, 1984, Vol. 1, pp. 307–309. |
| [14] | L. Zang, ”Automatic Digital Surface Model Generation from Linear Array Images,” DISS. ETH NO.16078, Zurich, 2005. |
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.
