References
- 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 Sensing Letters, vol. 9(1), (2012), 38–42.
- 4. H. Haggag, M. Hossny, D. Filippidis, D. Creighton, S. Nahavandi, V. Puri: Measuring depth accuracy in rgbd cameras. 7th International Conference on Signal Processing and Communication Systems (ICSPCS), (2013), 1–7.
- 5. L. Hong Xie, Z. Zhao: A new method of cylinder reconstruction based on unorganized point cloud, 18th International Conference on Geoinformatics, (2010), 1–5.
- 6. P. Kiljański, Optimization of PCD consolidation process in distributed system, Master Thesis, Gdansk University of Technology, 2014
- 7. P. Li, H. Wang, Z. Liu: A morphological LIDAR point cloud filtering method based on fake scan lines, International Conference on Electronics, Communications and Control (ICECC), (2011), 1228–1231.
- 8. D. McLeod, J. Jacobson, M. Hardy, C. Embry: Autonomous inspection using an underwater 3D LiDAR. 2013 OCEANS, San Diego, (2013), 1-8.
- 9. S. Orts-Escolano, V. Morell, J. Garcia-Rodriguez, M. Cazorla: Point cloud data filtering and downsampling using growing neural gas. International Joint Conference on Neural Networks(IJCNN), (2013), 1–8.
- 10. R. Rusu, S. Cousins: 3D is here: Point cloud library (PCL). Proc. of International Conference in Robotics and Automation (ICRA), (2011), 1-4.
- 11. K. Santilli, K. Bemis, D. Silver, J. Dastur, P. Rona: Generating realistic images from hydrothermal plume data. Visualization, 2004. IEEE, (2004), 91-98
- 12. P. Thumbunpeng, M. Ruchanurucks, A Khongm: Surface area calculation using Kinect’s filtered point cloud with an application of burn care. International Conference on Robotics and Biomimetics (ROBIO), (2013), 2166–2169.
- 13. Y. Wan, Z. Miao, Z. Tang: Reconstruction of dense point cloud from uncalibrated widebaseline images. IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), (2010), 1230–1233.
- 14. Y. Wang, X. Xiang Zhu, R. Bamler, S. Gernhardt: Towards terrasarx street view: Creating city point cloud from multiaspect data stacks. Proc. of Joint Urban Remote Sensing Event (JURSE), (2013), 198–201.
- 15. H. Wenming, L. Yuanwang, W. Peizhi, W. Xiaojun: Algorithm for 3d point cloud denoising. 3rd International Conference on Genetic and Evolutionary Computing WGEC ’09, (2009), 574–577