Reconstruction of sampled surfaces with boundary via Morse theory
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Date
2023
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
We study the perception problem for garments (e.g. a pair of pants) using tools from computational topology: the identification of their geometry and position from point-cloud samples, as obtained e.g. with 3D scanners. We present a reconstruction algorithm based on Morse theory that proceeds directly from the point-cloud to obtain a cellular decomposition of the surface derived via a Morse function. No intermediate triangulation or local implicit equations are used, avoiding reconstruction-induced artifices. The results are a piecewise parametrization of the surface as a union of Morse cells, suitable for tasks such as noise-filtering or mesh-independent reparametrization, and a cell complex of small rank determining the surface topology. This algorithm can be applied to smooth surfaces with or without boundary, embedded in an ambient space of any dimension.
Description
@inproceedings{10.2312:ceig.20231146,
booktitle = {Spanish Computer Graphics Conference (CEIG)},
editor = {Gimeno Sancho, Jesús and Comino Trinidad, Marc},
title = {{Reconstruction of sampled surfaces with boundary via Morse theory}},
author = {Coltraro, Franco and Amorós, Jaume and Alberich-Carramiñana, Maria and Torras, Carme},
year = {2023},
publisher = {The Eurographics Association},
ISBN = {978-3-03868-230-1},
DOI = {10.2312/ceig.20231146}
}