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Pauly et al., 2004 - Google Patents

Uncertainty and variability in point cloud surface data

Pauly et al., 2004

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Document ID
3712384961087909909
Author
Pauly M
Mitra N
Guibas L
Publication year
Publication venue
Eurographics symposium on point-based graphics

External Links

Snippet

We present a framework for analyzing shape uncertainty and variability in point-sampled geometry. Our representation is mainly targeted towards discrete surface data stemming from 3D acquisition devices, where a finite number of possibly noisy samples provides only …
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Classifications

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    • G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
    • G06K9/6247—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
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