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|a (DE-627)NLM154025542
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|a (NLM)15747640
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|a DE-627
|b ger
|c DE-627
|e rakwb
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|a eng
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1 |
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|a Sorkine, Olga
|e verfasserin
|4 aut
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|a Geometry-aware bases for shape approximation
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|c 2005
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|a Text
|b txt
|2 rdacontent
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|a ohne Hilfsmittel zu benutzen
|b n
|2 rdamedia
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|a Band
|b nc
|2 rdacarrier
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|a Date Completed 31.03.2005
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|a Date Revised 10.12.2019
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|a published: Print
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|a Citation Status MEDLINE
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|a We introduce a new class of shape approximation techniques for irregular triangular meshes. Our method approximates the geometry of the mesh using a linear combination of a small number of basis vectors. The basis vectors are functions of the mesh connectivity and of the mesh indices of a number of anchor vertices. There is a fundamental difference between the bases generated by our method and those generated by geometry-oblivious methods, such as Laplacian-based spectral methods. In the latter methods, the basis vectors are functions of the connectivity alone. The basis vectors of our method, in contrast, are geometry-aware since they depend on both the connectivity and on a binary tagging of vertices that are "geometrically important" in the given mesh (e.g., extrema). We show that, by defining the basis vectors to be the solutions of certain least-squares problems, the reconstruction problem reduces to solving a single sparse linear least-squares problem. We also show that this problem can be solved quickly using a state-of-the-art sparse-matrix factorization algorithm. We show how to select the anchor vertices to define a compact effective basis from which an approximated shape can be reconstructed. Furthermore, we develop an incremental update of the factorization of the least-squares system. This allows a progressive scheme where an initial approximation is incrementally refined by a stream of anchor points. We show that the incremental update and solving the factored system are fast enough to allow an online refinement of the mesh geometry
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|a Evaluation Study
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|a Journal Article
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|a Research Support, Non-U.S. Gov't
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|a Research Support, U.S. Gov't, Non-P.H.S.
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|a Cohen-Or, Daniel
|e verfasserin
|4 aut
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700 |
1 |
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|a Irony, Dror
|e verfasserin
|4 aut
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700 |
1 |
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|a Toledo, Sivan
|e verfasserin
|4 aut
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|i Enthalten in
|t IEEE transactions on visualization and computer graphics
|d 1996
|g 11(2005), 2 vom: 12. März, Seite 171-80
|w (DE-627)NLM098269445
|x 1941-0506
|7 nnns
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|g volume:11
|g year:2005
|g number:2
|g day:12
|g month:03
|g pages:171-80
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|a GBV_USEFLAG_A
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|a GBV_ILN_350
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|a AR
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|d 11
|j 2005
|e 2
|b 12
|c 03
|h 171-80
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