Shape Reconstruction with Uncertainty

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dc.contributor.authorPapaleo, L.en_US
dc.contributor.authorPuppo, E.en_US
dc.contributor.editorS. Battiato and G. Gallo and F. Stancoen_US
dc.date.accessioned2014-01-27T16:20:40Z
dc.date.available2014-01-27T16:20:40Z
dc.date.issued2006en_US
dc.description.abstractThis paper presents a general Surface Reconstruction framework which encapsulates the uncertainty of the sampled data, making no assumption on the shape of the surface to be reconstructed. Starting from the input points (either points clouds or multiple range images), an Estimated Existence Function (EEF) is built which models the space in which the desired surface could exist and, by the extraction of EEF critical points, the surface is reconstructed. The final goal is the development of a generic framework able to adapt the result to different kinds of additional information coming from multiple sensors.en_US
dc.description.seriesinformation4th Eurographics Italian Chapter Conferenceen_US
dc.identifier.isbn3-905673-58-4en_US
dc.identifier.urihttps://doi.org/10.2312/LocalChapterEvents/ItalianChapConf2006/053-059en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.3.3 [Computer Graphics]: Shape Modeling, Uncertain data, Multi-sensor Data Fusionen_US
dc.titleShape Reconstruction with Uncertaintyen_US
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