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• W2152475639 abstract "We propose an effective algorithm based on subdivision surface representation for reconstruction of the human body from the data of a two-view body scanner. In the case that the scan data can be grouped into front and back views, we firstly rearrange the data by resampling in the frontal projection plane, and triangulate each set of data points followed by zippering the front and back contours with an Add—Delete method to create an initial mesh. Then the initial mesh is simplified to produce a control mesh as the base of a subdivision surface. Finally, the control mesh is optimized by fitting its subdivision surface to the original data, and, accordingly, a piecewise smooth body model is reconstructed. Experimental results show that the algorithm is capable of gap and hole filling, is robust to noise, and is computationally efficient." @default.
• W2152475639 created "2016-06-24" @default.
• W2152475639 creator A5043471749 @default.
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• W2152475639 date "2008-05-01" @default.
• W2152475639 modified "2023-09-24" @default.
• W2152475639 title "Surface Reconstruction from Two-view Body Scanner Data" @default.
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• W2152475639 doi "https://doi.org/10.1177/0040517507087853" @default.
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