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Advancing Curve and Surface Images Modeling with Two-Parameters Polynomial-Based Quaternary Subdivision Schemes

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In the context of this paper, we introduce a novel polynomial function that relies on two parameters. This polynomial enables the creation of a family of quaternary subdivision schemes for curve and surface modeling. One of these parameters is responsible for determining the specific member of the family while the other parameter provides the means to finely control the shape of the resulting curve or the regular surface images. This two-parameter approach adds significant versatility to the subdivision schemes to meet specific requirements and preferences. The exploration of various family members within this class of quaternary schemes is a focal point of our research. By adjusting the parameters, we investigate and delineate the distinctive characteristics of specific family members. This provides valuable insights into how these schemes can be harnessed to achieve various modeling goals. This insight empowers users to select the most suitable family members in accordance with their specific needs and design objectives.
Title: Advancing Curve and Surface Images Modeling with Two-Parameters Polynomial-Based Quaternary Subdivision Schemes
Description:
In the context of this paper, we introduce a novel polynomial function that relies on two parameters.
This polynomial enables the creation of a family of quaternary subdivision schemes for curve and surface modeling.
One of these parameters is responsible for determining the specific member of the family while the other parameter provides the means to finely control the shape of the resulting curve or the regular surface images.
This two-parameter approach adds significant versatility to the subdivision schemes to meet specific requirements and preferences.
The exploration of various family members within this class of quaternary schemes is a focal point of our research.
By adjusting the parameters, we investigate and delineate the distinctive characteristics of specific family members.
This provides valuable insights into how these schemes can be harnessed to achieve various modeling goals.
This insight empowers users to select the most suitable family members in accordance with their specific needs and design objectives.

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