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- W2036594666 abstract "Recently developed methods address the problem of denoising polygonal meshes derived from automatic scanning procedures. Nonlinear filtering is applied iteratively based on the estimated statistical properties of errors associated with the measured vertex locations. This procedure requires a rather uniform sampling interval across the surface and cannot remove noise below a certain frequency due to the local support of the filter kernel.We consider an approach to remedy these problems by interleaving mesh denoising and mesh simplification based on the quadric error metric. Instead of directly operating on vertex locations, the error quadrics (which are evaluated to determine vertex locations) are manipulated. Therefore denoising is applied at different scales according to the progress of simplification, being less sensitive to varying resolution and low-frequency noise. This is work in progress, which reveals some interesting properties in the context of denoising and simplification. However, the desired results have not yet been achieved." @default.
- W2036594666 created "2016-06-24" @default.
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- W2036594666 date "2004-04-22" @default.
- W2036594666 modified "2023-09-25" @default.
- W2036594666 title "Towards multiscale mesh denoising" @default.
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- W2036594666 doi "https://doi.org/10.1145/1037210.1037244" @default.
- W2036594666 hasPublicationYear "2004" @default.
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