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Volume Data Denoising via Extended Weighted Least Squares

Autor: Huanhuan Zhang, Yinghui Wang, xiaojuan Ning, Ke Lv, Ningna Wang

Publikováno v: IEEE Access, Vol 7, Pp 2750-2758 (2019)

During the data acquisition procedure, volume data are usually contaminated by noises. This would create visual confusion and misunderstanding in analyzing the volume data. Thus, noise reduction is necessary for improving the quality of volume data i

Externí odkaz: https://doaj.org/article/18a3d0e8419f4ba0a93a5decb41693f7

Enhancing Sharp Features by Locally Relaxing Regularization for Reconstructed Images in Electrical Impedance Tomography

Autor: Nanda V. Ranade, Damayanti Gharpure

Publikováno v: Journal of Electrical Bioimpedance

Image reconstruction in EIT is an inverse problem, which is ill posed and hence needs regularization. Regularization brings stability to reconstructed EIT image with respect to noise in the measured data. But this is at the cost of smoothening of sha

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::05090bf388d529528b15c1c64a8f7aa2
http://europepmc.org/articles/PMC7531207

VoroCrust: Voronoi Meshing Without Clipping

Autor: Ahmad A. Rushdi, Ahmed H. Mahmoud, Chandrajit L. Bajaj, Ahmed Abdelkader, Mohamed S. Ebeida, John D. Owens, Scott A. Mitchell

Publikováno v: ACM transactions on graphics, vol 39, iss 3
ACM Trans Graph

Polyhedral meshes are increasingly becoming an attractive option with particular advantages over traditional meshes for certain applications. What has been missing is a robust polyhedral meshing algorithm that can handle broad classes of domains exhi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e1c538a1b70aadbc2d3fd1c7edbf5ae1
https://escholarship.org/uc/item/2088s1gh

Robust normal vector estimation in 3D point clouds through iterative principal component analysis

Autor: Paul Checchin, Laurent Trassoudaine, David Coeurjolly, Florence Denis, Julia Sanchez, Florent Dupont

Publikováno v: ISPRS Journal of Photogrammetry and Remote Sensing
ISPRS Journal of Photogrammetry and Remote Sensing, Elsevier, 2020, 163, pp.18-35. ⟨10.1016/j.isprsjprs.2020.02.018⟩
ISPRS Journal of Photogrammetry and Remote Sensing, 2020, 163, pp.18-35. ⟨10.1016/j.isprsjprs.2020.02.018⟩

This paper introduces a robust normal vector estimator for point cloud data. It can handle sharp features as well as smooth areas. Our method is based on the inclusion of a robust estimator into a Principal Component Analysis in the neighborhood of t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::90c8e739f2d3689d8e42313cbb0f782e
https://hal.archives-ouvertes.fr/hal-02514851/file/normal_estimation.pdf