GPU-Accelerating Hierarchical Descriptors for Point Set Registration
dc.contributor.author | Dutta, Somnath | en_US |
dc.contributor.author | Russig, Benjamin | en_US |
dc.contributor.author | Gumhold, Stefan | en_US |
dc.contributor.editor | Banterle, Francesco | en_US |
dc.contributor.editor | Caggianese, Giuseppe | en_US |
dc.contributor.editor | Capece, Nicola | en_US |
dc.contributor.editor | Erra, Ugo | en_US |
dc.contributor.editor | Lupinetti, Katia | en_US |
dc.contributor.editor | Manfredi, Gilda | en_US |
dc.date.accessioned | 2023-11-12T15:37:36Z | |
dc.date.available | 2023-11-12T15:37:36Z | |
dc.date.issued | 2023 | |
dc.description.abstract | We present a GPU-accelerated global registration method for registering partial shapes, a common and often performancecritical task in many robotics, vision, and graphics applications. Global registration based on descriptor matching is highly dependent on the quality at which a shape is sampled, and computing expressive descriptors typically incurs high computation time. In this paper, we augment a global pair-wise registration algorithm based on hierarchical shape descriptors with a GPU-accelerated descriptor construction process, reducing the time spent on building descriptors by an order of magnitude. This allows for building more expressive descriptors, achieving a dual gain in both performance and accuracy. We conducted extensive evaluations on a large set of pair-wise registration problems, demonstrating very competitive registration accuracy, often rendering subsequent refinement with a local method unnecessary. | en_US |
dc.description.sectionheaders | Geometry processing | |
dc.description.seriesinformation | Smart Tools and Applications in Graphics - Eurographics Italian Chapter Conference | |
dc.identifier.doi | 10.2312/stag.20231295 | |
dc.identifier.isbn | 978-3-03868-235-6 | |
dc.identifier.issn | 2617-4855 | |
dc.identifier.pages | 59-69 | |
dc.identifier.pages | 11 pages | |
dc.identifier.uri | https://doi.org/10.2312/stag.20231295 | |
dc.identifier.uri | https://diglib.eg.org:443/handle/10.2312/stag20231295 | |
dc.publisher | The Eurographics Association | en_US |
dc.rights | Attribution 4.0 International License | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.subject | CCS Concepts: Computing methodologies -> Computer Graphics;Shape Modeling; Point-based models | |
dc.subject | Computing methodologies | |
dc.subject | Computer Graphics | |
dc.subject | Shape Modeling | |
dc.subject | Point | |
dc.subject | based models | |
dc.title | GPU-Accelerating Hierarchical Descriptors for Point Set Registration | en_US |
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