2D geometric modeling of soybean leaf combining B-spline curve and LS grammar

Mengbo Wang; Hongteng Fang

doi:10.1117/12.2659995

3 February 2023 2D geometric modeling of soybean leaf combining B-spline curve and LS grammar

Mengbo Wang, Hongteng Fang

Proceedings Volume 12511, Third International Conference on Computer Vision and Data Mining (ICCVDM 2022); 1251124 (2023) https://doi.org/10.1117/12.2659995
Event: Third International Conference on Computer Vision and Data Mining (ICCVDM 2022), 2022, Hulun Buir, China

Abstract

As a rapidly developing research, virtual plant simulation has received extensive attention in recent years. The leaf is one of the important organs of the plant, and the quality of the leaf simulation directly affects the effect of the overall model of the plant. The corner point detection method was used, combined with the B-spline curve method to establish the leaf contour, and the leaf vein simulation was carried out using the fractal LS syntax, and finally the two-dimensional geometric model of the leaf was established. This method can keep the blade contour well, and highlights the role of the feature points detected by the corner detection method in the virtual blade modeling, and the simulation effect is good.

Citation Download Citation

Mengbo Wang and Hongteng Fang "2D geometric modeling of soybean leaf combining B-spline curve and LS grammar", Proc. SPIE 12511, Third International Conference on Computer Vision and Data Mining (ICCVDM 2022), 1251124 (3 February 2023); https://doi.org/10.1117/12.2659995

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