Using Time-Varying Texels to Simulate Withering Grassland

Jiao, Shaohui; Wu, Wen; Heng, Pheng‐Ann; Wu, Enhua

doi:10.1109/mcg.2011.34

Cited by 2 publications

(1 citation statement)

References 4 publications

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“…The former uses the plant colors from samples or images at different stages to model the color change. Some methods [9][10][11][12] require several samples, while others 13 need to select an image that contains the colors of several stages. A disadvantage of sample-based methods is that the user has to collect the samples, which requires labor and time.…”

Section: Introductionmentioning

confidence: 99%

Botanical‐based simulation of color change in fruit ripening: Taking tomato as an example

Xu,

Liu

2023

Computer Animation & Virtual

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The color change of plant fruit in ripening is a typical time‐varying phenomenon involving various factors. Due to its complexity and biodiversity, it is challenging to model this phenomenon. To address this issue, we take the tomato as an example and propose a botanical‐based framework considering variety, environment, phytohormone, and genes to simulate fruit color change during the ripening process. Specifically, we propose a first‐order kinetic model that integrates varietal, environmental, and phytohormonal factors to represent the variation of pigment concentrations in the pericarp. Moreover, we introduce a logistic model to describe the change in pigment concentration in the epidermis. Based on the gene expression pathway of tomato color in botany, we propose a genotype‐to‐phenotype simulation method to represent its biodiversity. An improved method is proposed to convert pigment concentrations into color accurately. Furthermore, we propose a gradient descent‐based method to assist the user in quickly setting pigment concentration parameters. Experiments verified that the proposed framework can simulate a wide range of tomato colors. Both qualitative and quantitative experiments validated the proposed method. Furthermore, our framework can be applied to more fruits.

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Section: Introductionmentioning

confidence: 99%

Botanical‐based simulation of color change in fruit ripening: Taking tomato as an example

Xu,

Liu

2023

Computer Animation & Virtual

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Simulation and rendering for millions of grass blades

Fan

Hillesland

et al. 2015

Proceedings of the 19th Symposium on Interactive 3D Graphics and Games

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Figure 1: A large scene with millions of grass blades and 128 objects. AbstractWe provide detailed simulated response for individual blades of grass in fields of millions of blades. The field is divided into tiles whose blade data are instanced from a small patch of blades on the GPU to limit memory and bandwidth requirements. We only instantiate simulation state and compute simulation for tiles interacting with objects. The simulation does not stop immediately when objects leave the tile but with a smooth transition to the original GPU-instanced state. Grass motion is solved with collision, length, bending and twisting constraints. Global animation from wind is still handled through conventional, procedural methods in the vertex shader. Our method is also compatible with a rendering level-of-detail (LOD) system. With 128 objects moving in a field with over a million blades of grass, the frame rate is less than 20 ms, with only a few milliseconds of that time for simulation.

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Using Time-Varying Texels to Simulate Withering Grassland

Cited by 2 publications

References 4 publications

Botanical‐based simulation of color change in fruit ripening: Taking tomato as an example

Botanical‐based simulation of color change in fruit ripening: Taking tomato as an example

Simulation and rendering for millions of grass blades

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