A Parallel Algorithm Using Perlin Noise Superposition Method for Terrain Generation Based on CUDA architecture

Li, Huailiang; Tuo, Xianguo; Liu, Yao; Jiang, Xin

doi:10.2991/meita-15.2015.183

Cited by 3 publications

(2 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This custom created animals can be saved and spawned in simulations just like our 6 basic provided animals. New random/procedurally generated maps, using noises (Perlin [16] and other noise types merged) instead of using only heightmaps. For only entertainment we considered to implement one of the Unity's VR (virtual reality) [7] functions into our simulation, to walk alongside of our animals and observe their behaviour closely, instead of just flying above them.…”

Section: Discussionmentioning

confidence: 99%

Animal Farm—a complex artificial life 3D framework

Kiss

Pusztai

2021

Acta Universitatis Sapientiae, Informatica

View full text Add to dashboard Cite

The development of computer-generated ecosystem simulations are becoming more common due to the greater computational capabilities of machines. Because natural ecosystems are very complex, simplifications are required for implementation. This simulation environment o er a global view of the system and generate a lot of data to process and analyse, which are difficult or impossible to do in nature. 3D simulations, besides of the scientific advantages in experiments, can be used for presentation, educational and entertainment purposes too. In our simulated framework (Animal Farm) we have implemented a few basic animal behaviors and mechanics to observe in 3D. All animals are controlled by an individual logic model, which determines the next action of the animal, based on their needs and surrounding environment.

show abstract

Section: Discussionmentioning

confidence: 99%

Animal Farm—a complex artificial life 3D framework

Kiss

Pusztai

2021

Acta Universitatis Sapientiae, Informatica

View full text Add to dashboard Cite

show abstract

“…It has been used across the computer graphics applications from terrain generation, objects randomization to special effects. There are also many improvements to Perlin's original idea that can be relatively easily implemented in today's GPUs [Li15].…”

Section: Related Workmentioning

confidence: 99%

Real-time visualization of Dynamic Unlimited Objects Instancing

Jablonski¹,

Martyn²

2018

CSRN

View full text Add to dashboard Cite

In this paper, we propose a novel approach to an efficient rendering of an unlimited number of dynamic and unique 3D objects in real-time. We present an extension to the Holistic Unlimited Object Instancing (UOI) rendering pipeline and the holistic computer graphics paradigm. We called this extension Dynamic Unlimited Object Instancing rendering pipeline. Using Signed Distance Functions (SDF) for the virtual scene representation and the Holistic Scene Dynamics Function, we can control and render an unlimited number of dynamic 3D objects in real-time. In order to solve some issues of the original UOI rendering pipeline, we developed two extensions: first, a collection of holistic Dynamic operators, and, second, the Multipass Depth-Based Ray Marching rendering pipeline. The operators are used to apply affine transformations to an unlimited number of 3D objects and also to animate their materials and other attributes. In order to solve the problem of the uniform object distribution within the scene, we redefined the original definition of the scene SDF component. The virtual scene equation is divided into independent SDF components, which are rendered separately using the Multipass Depth-Based Ray Marching pipeline. Thanks to both extensions, the new version of the Holistic UOI rendering pipeline can handle 3D objects intersections what significantly enhances the realism of SDF scenes. The presented extensions to the UOI rendering pipeline are fully compatible with the Holistic UOI rendering pipeline, SDF and Sparse Voxel Octree (SVO) based algorithms. The only hardware requirement for our approach is the support for multipass rendering with compute shaders or any GPGPU API.

show abstract