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Tomasz Dziubich, Julian Szymański, Adam Brzeski, Jan Cychnerski and Waldemar Korłub

REFERENCE 1. W. Chau-Chang, C. Min-Shine: Nonmetric Camera Calibration for Underwater Laser Scanning System. IEEE Journal of Oceanic Engineering, vol. 05, 32(2), (2007), 383-399. 2. S. Ferrari, I Frosio, V. Piuri, N.A Borghese: Enhanced vector quantization for data reduction and filtering. Proceedings of 2nd International Symposium on 3D Data Processing, Visualization and Transmission, 3DPVT, (2004), 470–477. 3. S. Gernhardt, X. Cong, M. Eineder, S. Hinz, R. Bamler: Geometrical fusion of multitrack ps point clouds, IEEE Geoscience and Remote

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Artur Janowski and Jacek Rapinski

for multi-GNSS constellations.” Journal of Navigation 69.01 (2016): 145-155. 28. Chrόszcz, A., Łukasik,P.,Lupa, M. «Analysis of Performance and Optimization of Point Cloud Conversion in Spatial Databases.» IOP Conference Series: Earth and Environmental Science. Vol. 44. No. 5. IOP Publishing, 2016.

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Sławomir Mikrut, Agnieszka Moskal and Urszula Marmol

References [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

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Na Li, Jiquan Yang, Aiqing Guo, Yijian Liu and Hai Liu

Applied to Spam Detection. - Knowledge Based Systems, Vol. 64, 2014, pp. 22-31. 4. Guan, M., Z. Bo. Eight Quadrants Triangulation Algorithm about Space Closed Point Cloud. - Journal of Harbin University of Science and Technology, Vol. 14, 2009, No 3, pp. 20-24. 5. Wu, R. Based on Hexagonal Grid Geometry Processing Method. Doctoral Dissertation of JI Lin University, Ji Lin China, 2007. 6. Fathi, H., F. Dai, M. Lourakis. Automated As-Built 3D Reconstruction of Civil Infrastructure Using Computer Vision: Achievements

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Wioleta Błaszczak-Bąk, Joanna Janicka and Anna Sobieraj-Żłobińska

adaptive TIN model at the stage of initial processing of the ALS point cloud . Canadian Journal of Remote Sensing., No. 37(6), pp. 583-589. DOI: 10.5589/m12-001, 2011. 4. Csanyi N., Toth C., Grejner-Brzezinska D., Ray J.: Improving LiDAR Data Accuracy Using LiDAR Specific Ground Targets . ASPRS Annual Conference, Baltimore, MD, March 7-11, CD-ROM, 2005. 5. Crombaghs M.J.E., Brügelmann, de Min E. J.: On the adjustment of overlapping strips of laser altimeter height data . International Archives of Photogrammetry and Remote Sensing, 33(Part 3A): pp. 230

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Mariusz Deja, Michał Dobrzyński and Marcin Rymkiewicz

-457. 13. NSRP ASE Ship Check Data Capture Follow-on Project (NSRP ASE 05-01) Final Report (FY06), 2007. 14. PARK, Jung Seo; SHIN, Jong Gye; KO, Kwang Hee. Geometric assessment for fabrication of large hull pieces in shipbuilding. Computer-Aided Design, 2007, 39.10: 870-881. 15. PAULIC, Matej, et al. Reverse engineering of parts with optical scanning and additive manufacturing. Procedia Engineering, 2014, 69: 795-803. 16. ROCA-PARDIÑAS, Javier, et al. Assessing planar asymmetries in shipbuilding from point clouds. Measurement, 2017, 100: 252

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Marek Kulawiak and Zbigniew Łubniewski

on Geometry Processing, 2006, pp. 61-70. 13. Kim K., Shan J., Building roof modeling from airborne laser scanning data based on level set approach. ISPRS Journal of Photogrammetry and Remote Sensing, 66(4), 2011, pp. 484-497. 14. Kulawiak M., Łubniewski Z., Reconstruction Methods for 3D Underwater Objects Using Point Cloud Data, Hydroacoustics vol. 18, 2015, pp. 95-102. 15. Kulawiak M., Łubniewski Z., Processing of LiDAR and Multibeam Sonar Point Cloud Data for 3D Surface and Object Shape Reconstruction, Baltic Geodetic Congress (BGC Geomatics

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Piotr Wężyk, Marta Szostak, Wojciech Krzaklewski, Marek Pająk, Marcin Pierzchalski, Piotr Szwed, Paweł Hawryło and Michał Ratajczak

, Cartography and Remote Sensing , 25, 217-231. Wezyk, P. (2008). The LiDAR point cloud data-based forest canopy modelling. Archive of Photogrammetry, Photogrammetry, Cartography and Remote Sensing , 18 b, pp. 685–695. Wezyk, P. (2012). The integration of the Terrestrial and Airborne Laser Scanning technologies in the semi-automated process of retrieving selected trees and forest stand parameters. Ambiencia , Vol. 8. 4, Unicentro, Parana, Brasil,533–548. Wezyk, P., Borowiec, N., Szombara, S.M and Wanczyk, R. (2008). Generation of digital surface and

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Vimal Kumar Pathak, Chitresh Nayak, Amit Kumar Singh and Himanshu Chaudhary

] Materialise, case: Modeling and design of a custom made cranium implant for large skull reconstruction before a tumor removal,, 2001. [12] L.M. Galantucci, G. Percoco, and U. Dal Maso. Coded targets and hybrid grids for photogrammetric 3d digitisation of human faces. Virtual and Physical Prototyping, 3(3):167-176, 2008. [13] J. Roca-Pardiñas, H. Lorenzo, P. Arias, and J. Armesto. From laser point clouds to surfaces: Statistical nonparametric methods for three-dimensional reconstruction

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Zhe Li, Chen Ma and Tian-Fan Zhang

-1562. 18. Fischler, M. A., R. C. Bolles. Random Sample Consensus: A Paradigm for Model Fitting with Applications to Image Analysis and Automated Cartography. – Communications of the ACM, Vol. 24 , 1981, No 6, pp. 381-395. 19. Abhishek, A., S. K. Hema, J. Thorsten, S. Ashutosh. Contextually Guided Semantic Labelling and Search for 3D Point Clouds. – International Journal of Robotics Research January, Vol. 32 , 2013, No 1, pp. 19-34. 20. Deng, Z. H., T. T. Li, T. T. Zhang. An Adaptive Tracking Algorithm Based on Mean Shift. – Advanced Materials Research, Vol