Wang-Tiles for the Simulation and Visualization of Plant Competition

Alsweis, Monssef; Deußen, Oliver

doi:10.1007/11784203_1

Cited by 14 publications

(15 citation statements)

References 15 publications

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“…Therefore, procedural generation techniques are used to generate and fill these missing details. Most procedural techniques for natural environment focus either on simulation of ecosystems [4,5] or on the global generation of ecosystems using state-of-the-art point generation technique to determine plant positions [6,7]. Both families of techniques lack the ability to correctly translate ecological input data, like coverage or patchiness data of plant species, to a plant distribution with high-density and variety.…”

Section: Motivationmentioning

confidence: 99%

“…Again, with this method it is not possible to have the input plant species follow a certain statistical distribution. Alsweis [6] generated plant distributions by generating points following the PDD (Poisson Disk distribution) in combination with Wang tiling to generate all the points efficiently. This method did not investigate how to classify/assign these points to a plant species.…”

Section: Procedural Ecosystem Generation Techniquesmentioning

confidence: 99%

“…The classification of these positions using the coverage and patchiness statistics of each plant species is handled by the next component. To obtain all possible plant positions, we adopt the PDD with Wang tiling technique used by Alsweis [6] and Weier [7]. This technique makes it possible to randomly generate points with a uniform distribution where each point has a pre-defined minimal distance to each other: similar to what can be observed in nature.…”

Section: Plant Position Generationmentioning

confidence: 99%

See 2 more Smart Citations

Procedural generation and interactive web visualization of natural environments

Onrust

Bidarra

Rooseboom

et al. 2015

Proceedings of the 20th International Conference on 3D Web Technology

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Interactive 3D visualization of natural environments can help ecologists, policy makers and the broad public in general to better understand, promote and protect both existing and developing environments. The creation and exploration of virtual worlds can be very helpful for this purpose. However, current techniques are not able to generate sound complex natural environments from ecological data for the use of interactive webbased visualizations. In this thesis, we approach the challenge of developing and interactively visualizing in real time ecologically accurate and visually convincing models of complex natural environments over the web. For this, we propose a framework that (i) is able to combine landscape maps and ecological statistical data, translating them to an ecologically sound plant distribution, and (ii) creates a detailed 3D representation of the natural environment and provides for its fully interactive visualization in real-time over the web. The main contributions of this research are a procedural method to generate complete and sound natural environments and a web-based renderer that is able to real-time visualize complex natural environments with their high density and variability of individual organisms. The vegetation model combines and improves techniques from procedural ecosystem generation and neutral landscape modeling. It is able to generate diverse ecological sound plant distribution directly from landscape maps with statistics about coverage and patchiness of plant species. The visualization model uses several existing level-of-detail and illumination techniques to achieve interactive frame rates and improve realism. Validation of the results with ecology experts led us to conclude that our framework provides convincing interactive visualizations of large virtual natural environments.iii

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Section: Motivationmentioning

confidence: 99%

Section: Procedural Ecosystem Generation Techniquesmentioning

confidence: 99%

Section: Plant Position Generationmentioning

confidence: 99%

See 1 more Smart Citation

Procedural generation and interactive web visualization of natural environments

Onrust

Bidarra

Rooseboom

et al. 2015

Proceedings of the 20th International Conference on 3D Web Technology

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“…The Poisson disk distribution can ensure that a certain distance is maintained among plants but fails to reflect the more complicated features and patterns in the distribution. Certain researchers have attempted to use the Wang tiles approach in rapidly growing large-area forest synthesis [ 5 ][ 6 ] but could not take into account the actual distribution of plants because this approach also uses random models, i.e., the Poisson disk distribution, to generate the sample tiles. In this paper, we discard this random method.…”

Section: Related Workmentioning

confidence: 99%

Sample-Based Vegetation Distribution Information Synthesis

Yang

2015

PLoS ONE

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In constructing and visualizing a virtual three-dimensional forest scene, we must first obtain the vegetation distribution, namely, the location of each plant in the forest. Because the forest contains a large number of plants, the distribution of each plant is difficult to obtain from actual measurement methods. Random approaches are used as common solutions to simulate a forest distribution but fail to reflect the specific biological arrangements among types of plants. Observations show that plants in the forest tend to generate particular distribution patterns due to growth competition and specific habitats. This pattern, which represents a local feature in the distribution and occurs repeatedly in the forest, is in line with the “locality” and “static” characteristics in the “texture data”, making it possible to use a sample-based texture synthesis strategy to build the distribution. We propose a vegetation distribution data generation method that uses sample-based vector pattern synthesis. A sample forest stand is obtained first and recorded as a two-dimensional vector-element distribution pattern. Next, the large-scale vegetation distribution pattern is synthesized automatically using the proposed vector pattern synthesis algorithm. The synthesized distribution pattern resembles the sample pattern in the distribution features. The vector pattern synthesis algorithm proposed in this paper adopts a neighborhood comparison technique based on histogram matching, which makes it efficient and easy to implement. Experiments show that the distribution pattern synthesized with this method can sufficiently preserve the features of the sample distribution pattern, making our method meaningful for constructing realistic forest scenes.

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“…A half-toning algorithm constitutes a simple and fast approach for the generation of plant positions from a given density gray-scale map [1]. A small set of given distribution samples can be efficiently tiled for an area without periodical patterns by using Wang tiles [21,22]. The dart-throwing algorithm ensures that the distance between each pair of points is greater than a minimum value for exhibiting plant separation [7].…”

Section: Introductionmentioning

confidence: 99%

Procedural Generation of Large-Scale Forests Using a Graph-Based Neutral Landscape Model

et al. 2018

IJGI

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Specifying the positions and attributes of plants (e.g., species, size, and height) during the procedural generation of large-scale forests in virtual geographic environments is challenging, especially when reflecting the characteristics of vegetation distributions. To address this issue, a novel graph-based neutral landscape model (NLM) is proposed to generate forest landscapes with varying compositions and configurations. Our model integrates a set of class-level landscape metrics and generates more realistic and variable landscapes compared with existing NLMs controlled by limited global-level landscape metrics. To produce patches with particular sizes and shapes, a region adjacency graph is transformed from a cluster map that is generated based upon percolation theory; subsequently, optimal neighboring nodes in the graph are merged under restricted growth conditions from a source node. The locations of seeds are randomly placed and their species are classified according to the generated forest landscapes to obtain the final tree distributions. The results demonstrate that our method can generate realistic vegetation distributions representing different spatial patterns of species with a time efficiency that satisfies the requirements for constructing large-scale virtual forests.

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Wang-Tiles for the Simulation and Visualization of Plant Competition

Cited by 14 publications

References 15 publications

Procedural generation and interactive web visualization of natural environments

Procedural generation and interactive web visualization of natural environments

Sample-Based Vegetation Distribution Information Synthesis

Procedural Generation of Large-Scale Forests Using a Graph-Based Neutral Landscape Model

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