Abstract
Vegetation plays a major role in the realistic display of outdoor scenes. However, manual plant placement can be tedious. For this reason this paper presents a new proposal in the field of procedural modeling of natural scenes. This method creates plant ecosystems that maximizes the covered space by optimizing an objective function subject to a series of constraints defined by a system of inequalities. This system includes the constraints of the environment taking into account characteristics of the terrain and the plant species involved. Once the inequality system has been defined, a solution will be obtained that tries to maximize the radius of the projected area of the trees and therefore the extension of the vegetation cover on the ground. The technique eliminates the trees that do not achieve a minimum growth radius, simulating the typical competitive process of nature. Results show the good performance and the high visual quality of the ecosystems obtained by the proposed technique. The use of this kind of optimization techniques could be used to solve other procedural modeling problems in other fields of application.
Highlights
The representation of outdoor scenes is currently a very popular field of research due to the huge number of applications that require them, such as ecosystem simulation [20, 26], video games [27], or geographic information systems [6, 39]
In order to avoid the problems of local-to-global techniques [29], this work presents a method for the distribution of trees and plants in natural environments through the use of linear programming techniques
The main contribution of this work is the design of inequality systems adapted to each seed in order to compute the size of the plant representation
Summary
The representation of outdoor scenes is currently a very popular field of research due to the huge number of applications that require them, such as ecosystem simulation [20, 26], video games [27], or geographic information systems [6, 39]. The procedural methods classified as local-to-global treat plants as individual entities to which rules are applied in order to simulate factors such as reproduction, growth, competition, interaction, variation or adaptation to the environment [15] This biological model of plants predicts patterns of vegetation distribution in an ecosystem where plants grow, adapt to the environment, reproduce and compete for space. In order to avoid the problems of local-to-global techniques [29], this work presents a method for the distribution of trees and plants in natural environments through the use of linear programming techniques In this case, the objective function to be maximized is the projected area of the set of plant species.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
