Models of Animated Rivers for the Interactive Exploration of Landscapes
The goal of this dissertation is to achieve real-time, scalable, and controllable river animation with a detailed and space-time continuous appearance. To achieve this goal, we break down the river animation problem into macro-, meso-, and micro-scale subproblems ranging from coarse to fine. We propose appropriate models for each scale that capture relevant surface details and fluid motion. In the macro-scale, we propose a procedural method that can compute the velocities of rivers with curved banks, branchings and islands on-the-fly. In the meso-scale, we propose an improved featured-based simulation method for generating the crests of the quasi-stationary waves that are made by obstacles. We also propose a method for constructing an adaptive and feature-aligned water surface according to the given wave crests. In the micro-scale, we propose the use of wave sprites, a sprite-based texture model, to represent advected details with stationary spectrum properties on flow surfaces. Armed with wave sprites and a dynamic adaptive sampling scheme, we can texture the surface of a very large or even unbounded river with scene-independent performance. In addition, we propose a Lagrangian texture advection method that has other applications beyond river animation.
We demonstrate that combining our models in three scales helps us incorporate visually convincing animated rivers into a very large terrain in real-time interactive applications. We demonstrate that combining our models in three scales helps us incorporate visually convincing animated rivers into a very large terrain in real-time interactive applications.
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BibTex references
@PhdThesis\{YN08,
author = "Yu, Qizhi and Neyret, Fabrice",
title = "Models of Animated Rivers for the Interactive Exploration of Landscapes",
school = "Institut National Polytechnique de Grenoble",
month = "Nov",
year = "2008",
url = "http://www-evasion.imag.fr/Publications/2008/YN08"
}
Other publications in the database
» Fabrice Neyret : in lab LJK base , in team EVASION base
![qyu-thesis.pdf [13.8Mo]](/Publications/images/pdf.png)
![qyu-defense.ppt [13.3Mo]](/Publications/images/ppt.png)