Algorithm for 3D point cloud steganalysis based on composite operator feature enhancement
Author:
Publisher
Zhejiang University Press
Link
https://link.springer.com/content/pdf/10.1631/FITEE.2400360.pdf
Reference17 articles.
1. Chen YC, Fan YG, Yu DF, et al., 2023. Adaptive bilateral filtering point cloud smoothing and IMLS evaluation method considering normal outliers. J Graph, 44(1):131–138 (in Chinese). https://doi.org/10.11996/JG.j.2095-302X.2023010131
2. Decker TG, Devillers RW, Gallier S, 2023. Detecting agglomeration patterns on solid propellant surface via a new curvature-based multiscale method. Acta Astronaut 206:123–132. https://doi.org/10.1016/j.actaastro.2023.02.020
3. Li ZY, Bors AG, 2016. 3D mesh steganalysis using local shape features. Proc IEEE Int Conf on Acoustics, Speech and Signal Processing, p.2144–2148. https://doi.org/10.1109/ICASSP.2016.7472056
4. Li ZY, Bors AG, 2017. Steganalysis of 3D objects using statistics of local feature sets. Inform Sci, 415–416:85–99. https://doi.org/10.1016/j.ins.2017.06.011
5. Li ZY, Bors AG, 2020a. Selection of robust and relevant features for 3-D steganalysis. IEEE Trans Cybern, 50(5):1989–2001. https://doi.org/10.1109/TCYB.2018.2883082
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