https://oldena.lpnu.ua/handle/ntb/52437| Title: | F-transform 3D Point Cloud Filtering Algorithm |
| Authors: | Yerokhin, Andriy Semenets, Valerii Nechyporenko, Alina Turuta, Oleksii Babii, Andrii |
| Affiliation: | Kharkiv National University of Radio Electronics |
| Bibliographic description (Ukraine): | F-transform 3D Point Cloud Filtering Algorithm / Andriy Yerokhin, Valerii Semenets, Alina Nechyporenko, Oleksii Turuta, Andrii Babii // Data stream mining and processing : proceedings of the IEEE second international conference, 21-25 August 2018, Lviv. — Львів : Lviv Politechnic Publishing House, 2018. — P. 524–527. — (Machine Vision and Pattern Recognition). |
| Bibliographic description (International): | F-transform 3D Point Cloud Filtering Algorithm / Andriy Yerokhin, Valerii Semenets, Alina Nechyporenko, Oleksii Turuta, Andrii Babii // Data stream mining and processing : proceedings of the IEEE second international conference, 21-25 August 2018, Lviv. — Lviv Politechnic Publishing House, 2018. — P. 524–527. — (Machine Vision and Pattern Recognition). |
| Is part of: | Data stream mining and processing : proceedings of the IEEE second international conference, 2018 |
| Conference/Event: | IEEE second international conference "Data stream mining and processing" |
| Issue Date: | 28-Feb-2018 |
| Publisher: | Lviv Politechnic Publishing House |
| Place of the edition/event: | Львів |
| Temporal Coverage: | 21-25 August 2018, Lviv |
| Keywords: | point cloud filtering fuzzy methods Ftransform |
| Number of pages: | 4 |
| Page range: | 524-527 |
| Start page: | 524 |
| End page: | 527 |
| Abstract: | The paper proposes a new 3D point cloud filtering approach using F-transform. We achieve this by usage of uniform fuzzy partitioning and applying direct and inverse discrete F-transform on a point cloud data. The point cloud was filtered in a depth domain. The performance of developed approach was compared with several common-used statisticalbased point cloud filtering methods. |
| URI: | https://ena.lpnu.ua/handle/ntb/52437 |
| ISBN: | © Національний університет „Львівська політехніка“, 2018 © Національний університет „Львівська політехніка“, 2018 |
| Copyright owner: | © Національний університет “Львівська політехніка”, 2018 |
| URL for reference material: | http://www-graphics |
| References (Ukraine): | [1] J. Fu, D. Miao, W. Yu, S. Wang, Y. Lu, and S. Li, “Kinect-like depth data compression,” IEEE Transactions on Multimedia, vol. 15, no. 6, pp. 1340–1352, 2013. [2] J. Han, L. Shao, D. Xu, and J. Shotton, “Enhanced computer vision with microsoft kinect sensor: A review,” IEEE transactions on cybernetics, vol. 43, no. 5, pp. 1318–1334, 2013. [3] A. Nurunnabi, G. West, and D. Belton, “Outlier detection and robust normal-curvature estimation in mobile laser scanning 3D point cloud data,” Pattern Recognition, vol. 48, no. 4, pp. 1404–1419, 2015. [4] X.-F. Han, J. S. Jin, M.-J. Wang, W. Jiang, L. Gao, and L. Xiao, “A review of algorithms for filtering the 3D point cloud,” Signal Processing: Image Communication, vol. 57, pp. 103–112, 2017. [5] I. Perfilieva, “Fuzzy transforms: Theory and applications,” Fuzzy sets and systems, vol. 157, no. 8, pp. 993–1023, 2006. [6] L. A. Zadeh, “Fuzzy sets,” in Fuzzy Sets, Fuzzy Logic, And Fuzzy Systems: Selected Papers by Lotfi A Zadeh, World Scientific, 1996, pp. 394–432. [7] I. Perfilieva and R. Valášek, “Fuzzy transforms in removing noise,” in Computational Intelligence, Theory and Applications, Springer, 2005, pp. 221–230. [8] Y. Nie and K. E. Barner, “The fuzzy transformation and its applications in image processing,” IEEE Transactions on Image processing, vol. 15, no. 4, pp. 910–927, 2006. [9] K. Hirota and W. Pedrycz, “Fuzzy relational compression,” IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), vol. 29, no. 3, pp. 407–415, 1999. [10] F. Di Martino, V. Loia, I. Perfilieva, and S. Sessa, “An image coding/decoding method based on direct and inverse fuzzy transforms,” International Journal of Approximate Reasoning, vol. 48, no. 1, pp. 110–131, 2008. [11] M. Levoy, J. Gerth, B. Curless, and K. Pull, “The Stanford 3D scanning repository,” URL http://www-graphics. stanford. edu/data/3dscanrep, 2005. [12] G. Turk and M. Levoy, “Zippered polygon meshes from range images,” in Proceedings of the 21st annual conference on Computer graphics and interactive techniques, pp. 311–318, 1994. [13] E. H. Ruspini, “A new approach to clustering,” Information and control, vol. 15, no. 1, pp. 22–32, 1969. [14] L. Stefanini, “F-transform with parametric generalized fuzzy partitions,” Fuzzy Sets and Systems, vol. 180, no. 1, pp. 98–120, 2011. [15] P. Vlašánek and I. Perfilieva, “Image reconstruction with usage of the F-Transform,” in International Joint Conference CISIS’12-ICEUTE’ 12-SOCO’ 12 Special Sessions, pp. 507–514, 2013. |
| References (International): | [1] J. Fu, D. Miao, W. Yu, S. Wang, Y. Lu, and S. Li, "Kinect-like depth data compression," IEEE Transactions on Multimedia, vol. 15, no. 6, pp. 1340–1352, 2013. [2] J. Han, L. Shao, D. Xu, and J. Shotton, "Enhanced computer vision with microsoft kinect sensor: A review," IEEE transactions on cybernetics, vol. 43, no. 5, pp. 1318–1334, 2013. [3] A. Nurunnabi, G. West, and D. Belton, "Outlier detection and robust normal-curvature estimation in mobile laser scanning 3D point cloud data," Pattern Recognition, vol. 48, no. 4, pp. 1404–1419, 2015. [4] X.-F. Han, J. S. Jin, M.-J. Wang, W. Jiang, L. Gao, and L. Xiao, "A review of algorithms for filtering the 3D point cloud," Signal Processing: Image Communication, vol. 57, pp. 103–112, 2017. [5] I. Perfilieva, "Fuzzy transforms: Theory and applications," Fuzzy sets and systems, vol. 157, no. 8, pp. 993–1023, 2006. [6] L. A. Zadeh, "Fuzzy sets," in Fuzzy Sets, Fuzzy Logic, And Fuzzy Systems: Selected Papers by Lotfi A Zadeh, World Scientific, 1996, pp. 394–432. [7] I. Perfilieva and R. Valášek, "Fuzzy transforms in removing noise," in Computational Intelligence, Theory and Applications, Springer, 2005, pp. 221–230. [8] Y. Nie and K. E. Barner, "The fuzzy transformation and its applications in image processing," IEEE Transactions on Image processing, vol. 15, no. 4, pp. 910–927, 2006. [9] K. Hirota and W. Pedrycz, "Fuzzy relational compression," IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), vol. 29, no. 3, pp. 407–415, 1999. [10] F. Di Martino, V. Loia, I. Perfilieva, and S. Sessa, "An image coding/decoding method based on direct and inverse fuzzy transforms," International Journal of Approximate Reasoning, vol. 48, no. 1, pp. 110–131, 2008. [11] M. Levoy, J. Gerth, B. Curless, and K. Pull, "The Stanford 3D scanning repository," URL http://www-graphics. stanford. edu/data/3dscanrep, 2005. [12] G. Turk and M. Levoy, "Zippered polygon meshes from range images," in Proceedings of the 21st annual conference on Computer graphics and interactive techniques, pp. 311–318, 1994. [13] E. H. Ruspini, "A new approach to clustering," Information and control, vol. 15, no. 1, pp. 22–32, 1969. [14] L. Stefanini, "F-transform with parametric generalized fuzzy partitions," Fuzzy Sets and Systems, vol. 180, no. 1, pp. 98–120, 2011. [15] P. Vlašánek and I. Perfilieva, "Image reconstruction with usage of the F-Transform," in International Joint Conference CISIS’12-ICEUTE’ 12-SOCO’ 12 Special Sessions, pp. 507–514, 2013. |
| Content type: | Conference Abstract |
| Appears in Collections: | Data stream mining and processing : proceedings of the IEEE second international conference |
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2018_Yerokhin_A-F_transform_3D_Point_Cloud_524-527.pdf | 202.23 kB | Adobe PDF | View/Open | |
| 2018_Yerokhin_A-F_transform_3D_Point_Cloud_524-527__COVER.png | 565.44 kB | image/png | View/Open |
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