[1. Amenta N., Choi S., Kolluri R. K., The Power Crust, Proceedings of the sixth ACM symposium on Solid modeling and applications, 2001, pp. 249-266.10.1145/376957.376986]Search in Google Scholar
[2. Bernardini F., Mittleman J., Ftushmeier H., Silva C., Taubin G., The Ball-Pivoting Algorithm for Surface Reconstruction, IEEE Transactions on Visualization and Computer Graphics, vol. 5, No. 4, 1999, pp. 349-359.10.1109/2945.817351]Search in Google Scholar
[3. Chybicki, A., Kulawiak, M., Lubniewski, Z., Dabrowski, J., Luba, M., Moszynski, M. and Stepnowski, A., 2008, May. GIS for remote sensing, analysis and visualisation of marine pollution and other marine ecosystem components. In Information Technology, 2008. IT 2008. 1st International Conference on (pp. 1-4). IEEE. DOI: 10.1109/INFTECH.2008.462162810.1109/INFTECH.2008.4621628]Open DOISearch in Google Scholar
[4. Kulawiak, M. and Kulawiak, M., 2017. Application of Web-GIS for Dissemination and 3D Visualization of Large-Volume LiDAR Data. In The Rise of Big Spatial Data (pp. 1-12). Springer International Publishing. DOI: 10.1007/978-3-319-45123-7_110.1007/978-3-319-45123-7_1]Open DOISearch in Google Scholar
[5. Campos R., Garcia R., Nicosevici T., Surface reconstruction methods for the recovery of 3D models from underwater interest areas, OCEANS, 2011 IEEE - Spain, 2011.10.1109/Oceans-Spain.2011.6003633]Search in Google Scholar
[6. Caris HIPS and SIPS, http://www.caris.com/products/hips-sips/ (accessed on 03.11.2017)]Search in Google Scholar
[7. Cheng L., Tong L., Chen Y., Zhang W., Shan J., Liu Y., Li M., Integration of LiDAR data and optical multi-view images for 3D reconstruction of building roofs. Optics and Lasers in Engineering, 51(4), 2013, pp. 493-502.10.1016/j.optlaseng.2012.10.010]Search in Google Scholar
[8. Cohen, D. and Gotsman, C., 1994. Photorealistic terrain imaging and flight simulation. IEEE Computer Graphics and Applications, 14(2), pp.10-12.10.1109/38.267465]Search in Google Scholar
[9. Henn A., Gröger G., Stroh V., Plümer L., Model driven reconstruction of roofs from sparse LIDAR point clouds. ISPRS Journal of photogrammetry and remote sensing, 76, 2013, pp. 17-29.10.1016/j.isprsjprs.2012.11.004]Search in Google Scholar
[10. Hurtós N., Cufí X., Salvi J., Calibration of optical camera coupled to acoustic multibeam for underwater 3D scene reconstruction, OCEANS 2010 IEEE-Sydney, 2010, pp. 1-7.10.1109/OCEANSSYD.2010.5603907]Search in Google Scholar
[11. Kada M., McKinley L., 3D building reconstruction from LiDAR based on a cell decomposition approach. Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci, 38, W4, 2009.]Search in Google Scholar
[12. Kazhdan M., Bolitho M., Hoppe H., Poisson Surface Reconstruction, Eurographics Symposium on Geometry Processing, 2006, pp. 61-70.]Search in Google Scholar
[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. 484-497.10.1016/j.isprsjprs.2011.02.007]Search in Google Scholar
[14. Kulawiak M., Łubniewski Z., Reconstruction Methods for 3D Underwater Objects Using Point Cloud Data, Hydroacoustics vol. 18, 2015, pp. 95-102.]Search in Google Scholar
[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), Gdańsk, 2016. DOI: 10.1109/BGC.Geomatics.2016.4110.1109/BGC.Geomatics.2016.41]Open DOISearch in Google Scholar
[16. Lu D., Li H., Wei Y., Shen T., An Improved Merging Algorithm for Delaunay Meshing on 3D Visualization Multibeam Bathymetric Data, Information and Automation (ICIA), 2010 IEEE International Conference on. IEEE, 2010, pp. 1171-1176.10.1109/ICINFA.2010.5512309]Search in Google Scholar
[17. Lu Y., Oshima M., On the 3-D Reconstruction of Seabed Using Multiple Sidescan Sonar Images, IAPR Workshop on Machine Vision Applications, 2002, Nara, Japan.]Search in Google Scholar
[18. Nikic D., Wu J., Pauca P., Plemmons R., Zhang Q., A novel approach to environment reconstruction in lidar and hsi datasets, Advanced Maui Optical and Space Surveillance Technologies Conference Vol. 1, 2012, p. 81.]Search in Google Scholar
[19. QINSy Knowledge Base, https://confluence.qps.nl/display/KBE/QINSy+Knowledge+Base (accessed on 10.02.2017)]Search in Google Scholar
[20. Rottensteiner F., Automatic generation of high-quality building models from lidar data, IEEE Computer Graphics and Applications 23.6, 2003, pp. 42-50.10.1109/MCG.2003.1242381]Search in Google Scholar
[21. Seafloor Information System SIS Operator Manual, Release 3.6, Kongsberg Maritime AS, 2009]Search in Google Scholar
[22. Tse R. O. C., Gold C. M., Kidner D. B., Building reconstruction using LIDAR data, Proceedings 4th ISPRS Workshop on Dynamic and Multi-dimensional GIS, 2005.]Search in Google Scholar
[23. Tsai V. J. D., Delaunay triangulations in TIN creation: an overview and a linear-time algorithm, International Journal of Geographical Information Systems, vol. 7 iss. 6, 1993, pp. 501-524, DOI 10.1080/02693799308901979.10.1080/02693799308901979]Open DOISearch in Google Scholar