Point cloud processing with the combination of fuzzy information measure and wavelets

Adrienn Dineva, A. Várkonyi-Kóczy, Vincenzo Piuri, J. Tar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Processing of remotely sensed point clouds is a crucial issue for many applications, including robots operating autonomously in real world environments, etc. The pre-processing is almost an important step which includes operations such as remove of systematic errors, filtering, feature detection and extraction. In this paper we introduce a new preprocessing strategy with the combination of fuzzy information measure and wavelets that allows precise feature extraction, denoising and additionally effective compression of the point cloud. The suitable setting of the applied wavelet and parameters have a great impact on the result and depends on the aim of preprocessing that usually is a challenge for the users. In order to address this problem the fuzzy information measure has been proposed that supports the adaptive setting of the parameters. Additionally a fuzzy performance measure has been introduced, that can reduce the complexity of the procedure. Simulation results validate the efficiency and applicability of this method.

Original languageEnglish
Title of host publicationSoft Computing Applications - Proceedings of the 7th International Workshop Soft Computing Applications, SOFA 2016
PublisherSpringer Verlag
Pages455-461
Number of pages7
ISBN (Print)9783319625201
DOIs
Publication statusPublished - Jan 1 2018
Event7th International Workshop on Soft Computing Applications, SOFA 2016 - Arad, Romania
Duration: Aug 24 2016Aug 26 2016

Publication series

NameAdvances in Intelligent Systems and Computing
Volume633
ISSN (Print)2194-5357

Other

Other7th International Workshop on Soft Computing Applications, SOFA 2016
CountryRomania
CityArad
Period8/24/168/26/16

Fingerprint

Robot applications
Systematic errors
Processing
Feature extraction

Keywords

  • Denoising
  • Fuzzy information measure
  • Point cloud processing
  • Signal processing

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

Cite this

Dineva, A., Várkonyi-Kóczy, A., Piuri, V., & Tar, J. (2018). Point cloud processing with the combination of fuzzy information measure and wavelets. In Soft Computing Applications - Proceedings of the 7th International Workshop Soft Computing Applications, SOFA 2016 (pp. 455-461). (Advances in Intelligent Systems and Computing; Vol. 633). Springer Verlag. https://doi.org/10.1007/978-3-319-62521-8_39

Point cloud processing with the combination of fuzzy information measure and wavelets. / Dineva, Adrienn; Várkonyi-Kóczy, A.; Piuri, Vincenzo; Tar, J.

Soft Computing Applications - Proceedings of the 7th International Workshop Soft Computing Applications, SOFA 2016. Springer Verlag, 2018. p. 455-461 (Advances in Intelligent Systems and Computing; Vol. 633).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Dineva, A, Várkonyi-Kóczy, A, Piuri, V & Tar, J 2018, Point cloud processing with the combination of fuzzy information measure and wavelets. in Soft Computing Applications - Proceedings of the 7th International Workshop Soft Computing Applications, SOFA 2016. Advances in Intelligent Systems and Computing, vol. 633, Springer Verlag, pp. 455-461, 7th International Workshop on Soft Computing Applications, SOFA 2016, Arad, Romania, 8/24/16. https://doi.org/10.1007/978-3-319-62521-8_39
Dineva A, Várkonyi-Kóczy A, Piuri V, Tar J. Point cloud processing with the combination of fuzzy information measure and wavelets. In Soft Computing Applications - Proceedings of the 7th International Workshop Soft Computing Applications, SOFA 2016. Springer Verlag. 2018. p. 455-461. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-3-319-62521-8_39
Dineva, Adrienn ; Várkonyi-Kóczy, A. ; Piuri, Vincenzo ; Tar, J. / Point cloud processing with the combination of fuzzy information measure and wavelets. Soft Computing Applications - Proceedings of the 7th International Workshop Soft Computing Applications, SOFA 2016. Springer Verlag, 2018. pp. 455-461 (Advances in Intelligent Systems and Computing).
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