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2 Annals of Computer Science and Information Systems

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Simulating Large-Scale Topographic Terrain Features with Reservoirs and Flowing Water

Błaszczyk Łukasz, Mizura Michalina, Płocharski Aleksander, Porter-Sobieraj Joanna

Annals of Computer Science and Information Systems

2023

Vol. 35

385--392

The flow and accumulation of water are essential aspects when it comes to generating realistic terrains. In this article, we have set out to create a method for generating the distribution and levels of water in a virtual world. Our method fully simulates the water entering and exiting the system through rainfall, perspiration, and flowing out of the domain. Also, it simulates the phenomena of flow and accumulation in an iterative process. According to our observations, only allowing the user to influence the terrain and then simulating the placement of water bodies provides a natural result while preserving a high level of control.

Hierarchical data structures in rendering scenes containing a massive number of light sources

Lamecki Andrzej, Kaczmarski Krzysztof, Porter-Sobieraj Joanna

Annals of Computer Science and Information Systems

2022

Vol. 30

535--544

In order to speed up the process of rendering scenes containing many light sources, spatial data structures are used, which allow the number of lights processed for each pixel to be reduced during lighting computation. Examples of algorithms using such data structures are clustered shading and hybrid lighting. Alongside the rendering time, it is important to consider memory consumption resulting from processing a large number of lights. This paper presents a novel modification of the hybrid lighting algorithm using an octree that allows for a significant reduction in the amount of memory required to store the data structure. The proposed modification uses an octree to store the information about the rendered space. Detailed analysis of the proposed algorithm, and numerical results obtained for various 3D scenes, as well as different input data, all prove that the proposed method significantly reduces the memory required to store lists of lights used by the algorithm.