| DC Field | Value | Language |
|---|
| dc.contributor.author | Yerokhin, Andriy | |
| dc.contributor.author | Semenets, Valerii | |
| dc.contributor.author | Nechyporenko, Alina | |
| dc.contributor.author | Turuta, Oleksii | |
| dc.contributor.author | Babii, Andrii | |
| dc.coverage.temporal | 21-25 August 2018, Lviv | |
| dc.date.accessioned | 2020-06-19T12:04:30Z | - |
| dc.date.available | 2020-06-19T12:04:30Z | - |
| dc.date.created | 2018-02-28 | |
| dc.date.issued | 2018-02-28 | |
| dc.identifier.citation | 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). | |
| dc.identifier.isbn | © Національний університет „Львівська політехніка“, 2018 | |
| dc.identifier.isbn | © Національний університет „Львівська політехніка“, 2018 | |
| dc.identifier.uri | https://ena.lpnu.ua/handle/ntb/52437 | - |
| dc.description.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. | |
| dc.format.extent | 524-527 | |
| dc.language.iso | en | |
| dc.publisher | Lviv Politechnic Publishing House | |
| dc.relation.ispartof | Data stream mining and processing : proceedings of the IEEE second international conference, 2018 | |
| dc.relation.uri | http://www-graphics | |
| dc.subject | point cloud | |
| dc.subject | filtering | |
| dc.subject | fuzzy methods | |
| dc.subject | Ftransform | |
| dc.title | F-transform 3D Point Cloud Filtering Algorithm | |
| dc.type | Conference Abstract | |
| dc.rights.holder | © Національний університет “Львівська політехніка”, 2018 | |
| dc.contributor.affiliation | Kharkiv National University of Radio Electronics | |
| dc.format.pages | 4 | |
| dc.identifier.citationen | 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). | |
| dc.relation.references | [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. | |
| dc.relation.references | [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. | |
| dc.relation.references | [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. | |
| dc.relation.references | [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. | |
| dc.relation.references | [5] I. Perfilieva, “Fuzzy transforms: Theory and applications,” Fuzzy sets and systems, vol. 157, no. 8, pp. 993–1023, 2006. | |
| dc.relation.references | [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. | |
| dc.relation.references | [7] I. Perfilieva and R. Valášek, “Fuzzy transforms in removing noise,” in Computational Intelligence, Theory and Applications, Springer, 2005, pp. 221–230. | |
| dc.relation.references | [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. | |
| dc.relation.references | [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. | |
| dc.relation.references | [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. | |
| dc.relation.references | [11] M. Levoy, J. Gerth, B. Curless, and K. Pull, “The Stanford 3D scanning repository,” URL http://www-graphics. stanford. edu/data/3dscanrep, 2005. | |
| dc.relation.references | [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. | |
| dc.relation.references | [13] E. H. Ruspini, “A new approach to clustering,” Information and control, vol. 15, no. 1, pp. 22–32, 1969. | |
| dc.relation.references | [14] L. Stefanini, “F-transform with parametric generalized fuzzy partitions,” Fuzzy Sets and Systems, vol. 180, no. 1, pp. 98–120, 2011. | |
| dc.relation.references | [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. | |
| dc.relation.referencesen | [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. | |
| dc.relation.referencesen | [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. | |
| dc.relation.referencesen | [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. | |
| dc.relation.referencesen | [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. | |
| dc.relation.referencesen | [5] I. Perfilieva, "Fuzzy transforms: Theory and applications," Fuzzy sets and systems, vol. 157, no. 8, pp. 993–1023, 2006. | |
| dc.relation.referencesen | [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. | |
| dc.relation.referencesen | [7] I. Perfilieva and R. Valášek, "Fuzzy transforms in removing noise," in Computational Intelligence, Theory and Applications, Springer, 2005, pp. 221–230. | |
| dc.relation.referencesen | [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. | |
| dc.relation.referencesen | [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. | |
| dc.relation.referencesen | [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. | |
| dc.relation.referencesen | [11] M. Levoy, J. Gerth, B. Curless, and K. Pull, "The Stanford 3D scanning repository," URL http://www-graphics. stanford. edu/data/3dscanrep, 2005. | |
| dc.relation.referencesen | [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. | |
| dc.relation.referencesen | [13] E. H. Ruspini, "A new approach to clustering," Information and control, vol. 15, no. 1, pp. 22–32, 1969. | |
| dc.relation.referencesen | [14] L. Stefanini, "F-transform with parametric generalized fuzzy partitions," Fuzzy Sets and Systems, vol. 180, no. 1, pp. 98–120, 2011. | |
| dc.relation.referencesen | [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. | |
| dc.citation.conference | IEEE second international conference "Data stream mining and processing" | |
| dc.citation.spage | 524 | |
| dc.citation.epage | 527 | |
| dc.coverage.placename | Львів | |
| Appears in Collections: | Data stream mining and processing : proceedings of the IEEE second international conference
|
