@InProceedings{majhi:LIPIcs.SoCG.2024.73,
author = {Majhi, Sushovan},
title = {{Demystifying Latschev’s Theorem: Manifold Reconstruction from Noisy Data}},
booktitle = {40th International Symposium on Computational Geometry (SoCG 2024)},
pages = {73:1--73:16},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-316-4},
ISSN = {1868-8969},
year = {2024},
volume = {293},
editor = {Mulzer, Wolfgang and Phillips, Jeff M.},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.SoCG.2024.73},
URN = {urn:nbn:de:0030-drops-200188},
doi = {10.4230/LIPIcs.SoCG.2024.73},
annote = {Keywords: Vietoris-Rips complex, submanifold reconstruction, manifold reconstruction, Latschev’s theorem, homotopy Equivalence}
}