Procedural modelling of terrains with constraints
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Otros documentos de la autoría: Gasch, Cristina; Chover, Miguel; Remolar, Inmaculada; Rebollo Santamaría, Cristina
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Título
Procedural modelling of terrains with constraintsFecha de publicación
2020-08-18Editor
SpringerISSN
1380-7501; 1573-7721Cita bibliográfica
Gasch, C., Chover, M., Remolar, I. et al. Procedural modelling of terrains with constraints. Multimed Tools Appl 79, 31125–31146 (2020). https://doi.org/10.1007/s11042-020-09476-3Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
https://link.springer.com/article/10.1007/s11042-020-09476-3Versión
info:eu-repo/semantics/acceptedVersionPalabras clave / Materias
Resumen
Terrain is an essential part of any outdoor environment and, consequently, many techniques
have appeared that deal with the problem of its automatic generation, such as procedural
modeling. One form to create terrains ... [+]
Terrain is an essential part of any outdoor environment and, consequently, many techniques
have appeared that deal with the problem of its automatic generation, such as procedural
modeling. One form to create terrains is using noise functions because its low computational cost and its random result. However, the randomness of these functions also makes it
difficult to have any control over the result obtained. In order to solve the problem of lack
of control, this paper presents a new method noise-based that allows procedural terrains creation with elevation constraints (GPS routes, points of interest and areas of interest). For
this, the method establishes the restrictions as fixed values in the heightmap function and
creates a system of equations to obtain all points that they depend this restrictions. In this
way, the terrain obtained maintains the random noise, but including the desired restrictions.
The paper also includes how we apply this method on large terrain models without losing resolution or increasing the computational cost excessively. The results show that our
method makes it possible to integrate this kind of constraints with high accuracy and realism
while preserving the natural appearance of the procedural generation. [-]
Publicado en
Multimed Tools Appl 79, 31125–31146 (2020)Proyecto de investigación
TIN2016-75866-C3-1-R, PID2019-106426RB-C32, UJIB2018-56Derechos de acceso
© Springer Science+Business Media, LLC, part of Springer Nature 2020
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