A Scene Graph-Oriented Particle System for Real-Time 3D Graphics

2009 ◽  
pp. 430-440 ◽  
Author(s):  
Jakub Grudziński
Keyword(s):  
Real Time ◽  
Particle System ◽  
3D Graphics ◽  
Scene Graph

Real-time meshless deformation based on particle system and shape matching

2009 ◽  
Vol 28 (12) ◽  
pp. 3007-3009
Author(s):  
Wang-gen WAN ◽  
Ji-cheng LIN ◽  
Xiao-qing YU ◽  
Huan DING ◽  
Xiao-hui TAN
Keyword(s):  
Real Time ◽  
Shape Matching ◽  
Particle System

Real-Time Web GIS Analysis Using WebGL

2012 ◽  
Vol 1 (3) ◽  
pp. 49-61 ◽  
Author(s):  
Michael Auer
Keyword(s):  
Parallel Processing ◽  
Real Time ◽  
Large Data ◽  
Web Gis ◽  
3D Graphics ◽  
Gis Analysis ◽  
User Interactions ◽  
Algorithm Performance ◽  
Gis Applications ◽  
Client Side

Parallel processing methods in Geographic Information Systems (GIS) are traditionally used to accelerate the calculation of large data volumes with sophisticated spatial algorithms. Such kinds of acceleration can also be applied to provide real-time GIS applications to improve the responsiveness of user interactions with the data. This paper presents a method to enable this approach for Web GIS applications. It uses the JavaScript 3D graphics API (WebGL) to perform client-side parallel real-time computations of 2D or 2.5D spatial raster algorithms on the graphics card. The potential of this approach is evaluated using an example implementation of a hillshade algorithm. Performance comparisons of parallel and sequential computations reveal acceleration factors between 25 and 100, mainly depending on mobile or desktop environments.

Real-Time Fire Rendering Based on The Particle System

2013 ◽  
Vol 8 (9) ◽  
pp. 778-785
Author(s):  
Xumin LIU ◽  
Xiaojun WANG ◽  
Dawei QIAN ◽  
Cailing LI
Keyword(s):  
Real Time ◽  
Particle System

AN S-PI VISION-BASED TRACKING SYSTEM FOR OBJECT MANIPULATION IN AUGMENTED REALITY

2015 ◽  
Vol 75 (4) ◽  
Author(s):  
Ajune Wanis Ismail ◽  
Mark Bilinghust ◽  
Mohd Shahrizal Sunar
Keyword(s):  
Augmented Reality ◽  
Real Time ◽  
Tracking System ◽  
Object Manipulation ◽  
3D Graphics ◽  
Virtual Objects ◽  
3D Objects ◽  
Time Calibration ◽  
Detection Stage ◽  
Vision Algorithm

In this paper, we describe a new tracking approach for object handling in Augmented Reality (AR). Our approach improves the standard vision-based tracking system during marker extraction and its detection stage. It transforms a unique tracking pattern into set of vertices which are able to perform interaction such as translate, rotate, and copy. This is based on arobust real-time computer vision algorithm that tracks a paddle that a person uses for input. A paddle pose pattern is constructed in a one-time calibration process and through vertex-based calculation of the camera pose relative to the paddle we can show 3D graphics on top of it. This allows the user to look at virtual objects from different viewing angles in the AR interface and perform 3D object manipulation. This approach was implemented using marker-based tracking to improve the tracking in term of the accuracy and robustness in manipulating 3D objects in real-time. We demonstrate our improved tracking system with a sample Tangible AR application, and describe how the system could be improved in the future.

scholarly journals Erratum to: A model for adapting 3D graphics based on scalable coding, real-time simplification and remote rendering

2016 ◽  
Vol 33 (5) ◽  
pp. 687-687
Author(s):  
Marius Preda ◽  
Paulo Villegas ◽  
Francisco Morán ◽  
Gauthier Lafruit ◽  
Robert-Paul Berretty
Keyword(s):  
Real Time ◽  
Scalable Coding ◽  
3D Graphics ◽  
Remote Rendering

scholarly journals Fast and Reliable Mouse Picking Using Graphics Hardware

2009 ◽  
Vol 2009 ◽  
pp. 1-7 ◽  
Author(s):  
Hanli Zhao ◽  
Xiaogang Jin ◽  
Jianbing Shen ◽  
Shufang Lu
Keyword(s):  
Real Time ◽  
Time Complexity ◽  
High Performance ◽  
Linear Time ◽  
Graphics Hardware ◽  
3D Graphics ◽  
Novel Approach ◽  
Geometry Shader ◽  
Intersection Test ◽  
Fast Responses

Mouse picking is the most commonly used intuitive operation to interact with 3D scenes in a variety of 3D graphics applications. High performance for such operation is necessary in order to provide users with fast responses. This paper proposes a fast and reliable mouse picking algorithm using graphics hardware for 3D triangular scenes. Our approach uses a multi-layer rendering algorithm to perform the picking operation in linear time complexity. The objectspace based ray-triangle intersection test is implemented in a highly parallelized geometry shader. After applying the hardware-supported occlusion queries, only a small number of objects (or sub-objects) are rendered in subsequent layers, which accelerates the picking efficiency. Experimental results demonstrate the high performance of our novel approach. Due to its simplicity, our algorithm can be easily integrated into existing real-time rendering systems.

ONLINE ANIMATION SYSTEM FOR PRACTICING CUED SPEECH

2010 ◽  
Vol 10 (04) ◽  
pp. 497-512
Author(s):  
BLAGICA JOVANOVA ◽  
IVICA ARSOV ◽  
MARIUS PREDA ◽  
FRANÇOISE PRETEUX
Keyword(s):  
Real Time ◽  
Information And Communication Technologies ◽  
Three Dimensional ◽  
Communication Technologies ◽  
3D Graphics ◽  
Core Technology ◽  
Potential Applications ◽  
User Acceptability ◽  
Information And Communication ◽  
Cued Speech

This paper presents a set of information and communication technologies developed with the goal to improve the practice of cued speech. They are based on three-dimensional (3D) graphics and are covering the entire end-to-end content chain: production, transmission, and visualization. Starting from defining a set of potential applications, the requirements of the targeted system for cued speech are set. The research and development path takes into account high-quality animation, real-time constraints, personalization, user acceptability and, equally important, the easiness and feasibility of the deployment. The latter led to a strong orientation toward open standards. The original components of the system include 3D graphics and animation encoders, streaming servers, and visualization engines. The core technology is validated in two real-time applications: a web service for text to animation conversion and a chat service supporting two or more users.

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