2003Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIERequires access

Converting triangular Bezier surface into optimal trimmed tensor-product Bezier surface

Yang Zhao, Jieqing Feng

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Abstract

Triangular Bezier surface is widely used for modelling complex object. However most of geometric modelling systems do not support it. It is necessary to convert it into tensor-product Bezier surface. In this paper, a new conversion algorithm is proposed to convert a triangular Bezier surface into an optimal trimmed tensor-product Bezier surface by using polynomial interpolation. Then the proposed algorithm is compared with previous algorithms in both computational cost and numerical accuracy. The results show that the proposed algorithm has both computational and storage advantages over previous algorithms. Its numerical accuracy is comparable with the previous ones for cases of the degree less than 6.

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What this paper is about

Triangular Bezier surface is widely used for modelling complex object. However most of geometric modelling systems do not support it. It is necessary to convert it into tensor-product Bezier surface. In this paper, a new conversion algorithm is proposed to convert a triangular Bezier surface into an optimal trimmed tensor-product Bezier surface by using polynomial interpolation. Then the proposed algorithm is compared with previous algorithms in both computational cost and numerical accuracy. The results show that the proposed algorithm has both computational and storage advantages over previous algorithms. Its numerical accuracy is comparable with the previous ones for cases of the degree less than 6.

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Available abstract

Triangular Bezier surface is widely used for modelling complex object. However most of geometric modelling systems do not support it. It is necessary to convert it into tensor-product Bezier surface. In this paper, a new conversion algorithm is proposed to convert a triangular Bezier surface into an optimal trimmed tensor-product Bezier surface by using polynomial interpolation. Then the proposed algorithm is compared with previous algorithms in both computational cost and numerical accuracy. The results show that the proposed algorithm has both computational and storage advantages over previous algorithms. Its numerical accuracy is comparable with the previous ones for cases of the degree less than 6.

Key concepts: Bézier surface, Bézier curve, Tensor product, Interpolation (computer graphics), Surface (topology), Product (mathematics), Mathematics, Mathematical optimization

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