1. Reconstruction of adaptive swept surfaces from scanned data for styling design.
- Author
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Tsuchie, Shoichi
- Subjects
- *
SURFACE reconstruction , *CURVES , *CURVATURE , *REVERSE engineering - Abstract
This study presents a new method for reconstructing an adaptive underlying surface, S ~ , from scanned data for styling design objects. S ~ is usually generated by sweeping a curve that varies its shape gradually while being swept. However, when S ~ is reconstructed from a segmented part of the scanned data, it is generally more difficult to control the gradual variation as the ratio of the segmented part to the area of S ~ becomes smaller. Therefore, this study represents S ~ by the sum of two surfaces, S ~ = S U + S Δ . Here, an underlying surface S U is generated by the standard sweep method and the difference surface S Δ not only compensates for the error between S ~ and the scanned data but also exhibits monotonous change in the curvatures. Consequently, the gradual change in a curve being swept is represented by S Δ , which does not encounter the aforementioned problem because it is intended to control the deviation from the "reference" S U under the constraint of "curvature monotonicity." The experimental results demonstrate the validity of surface reconstruction from real-world scanned data as well as an application of the proposed method. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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