Practical GPU and Voxel-Based Indirect Illumination for Real Time Computer Games

2015 ◽  
Author(s):  
Andrei Simion ◽  
Victor Asavei ◽  
Sorin Andrei Pistirica ◽  
Ovidiu Poncea
Keyword(s):  
Real Time ◽  
Computer Games ◽  
Indirect Illumination

Development of environment design support mixed reality system capable of environment estimation using deep learning

Impact ◽  
2020 ◽  
Vol 2020 (2) ◽  
pp. 9-11
Author(s):  
Tomohiro Fukuda
Keyword(s):  
Deep Learning ◽  
Real Time ◽  
Computer Games ◽  
Construction Projects ◽  
Mixed Reality ◽  
Semantic Segmentation ◽  
Environment Design ◽  
Aviation Training ◽  
Architecture And Design ◽  
World Environment

Mixed reality (MR) is rapidly becoming a vital tool, not just in gaming, but also in education, medicine, construction and environmental management. The term refers to systems in which computer-generated content is superimposed over objects in a real-world environment across one or more sensory modalities. Although most of us have heard of the use of MR in computer games, it also has applications in military and aviation training, as well as tourism, healthcare and more. In addition, it has the potential for use in architecture and design, where buildings can be superimposed in existing locations to render 3D generations of plans. However, one major challenge that remains in MR development is the issue of real-time occlusion. This refers to hiding 3D virtual objects behind real articles. Dr Tomohiro Fukuda, who is based at the Division of Sustainable Energy and Environmental Engineering, Graduate School of Engineering at Osaka University in Japan, is an expert in this field. Researchers, led by Dr Tomohiro Fukuda, are tackling the issue of occlusion in MR. They are currently developing a MR system that realises real-time occlusion by harnessing deep learning to achieve an outdoor landscape design simulation using a semantic segmentation technique. This methodology can be used to automatically estimate the visual environment prior to and after construction projects.

On the Performance Comparisons of Native and Clientless Real-Time Screen-Sharing Technologies

2021 ◽  
Vol 17 (2) ◽  
pp. 1-26
Author(s):  
Chun-ying Huang ◽  
Yun-chen Cheng ◽  
Guan-zhang Huang ◽  
Ching-ling Fan ◽  
Cheng-hsin Hsu
Keyword(s):  
Real Time ◽  
Computer Games ◽  
Performance Metrics ◽  
Video Quality ◽  
Dynamic Network ◽  
Web Browsers ◽  
Depth Analysis ◽  
Measurement Methodology ◽  
Overall Performance ◽  
Screen Sharing

Real-time screen-sharing provides users with ubiquitous access to remote applications, such as computer games, movie players, and desktop applications (apps), anywhere and anytime. In this article, we study the performance of different screen-sharing technologies, which can be classified into native and clientless ones. The native ones dictate that users install special-purpose software, while the clientless ones directly run in web browsers. In particular, we conduct extensive experiments in three steps. First, we identify a suite of the most representative native and clientless screen-sharing technologies. Second, we propose a systematic measurement methodology for comparing screen-sharing technologies under diverse and dynamic network conditions using different performance metrics. Last, we conduct extensive experiments and perform in-depth analysis to quantify the performance gap between clientless and native screen-sharing technologies. We found that our WebRTC-based implementation achieves the best overall performance. More precisely, it consumes a maximum of 3 Mbps bandwidth while reaching a high decoding ratio and delivering good video quality. Moreover, it leads to a steadily high decoding ratio and video quality under dynamic network conditions. By presenting the very first rigorous comparisons of the native and clientless screen-sharing technologies, this article will stimulate more exciting studies on the emerging clientless screen-sharing technologies.

scholarly journals Dynamic Difficulty Adjustment (DDA) in Computer Games: A Review

2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Mohammad Zohaib
Keyword(s):  
Learning Curve ◽  
Real Time ◽  
Computer Games ◽  
Negative Experience ◽  
Level Of Difficulty

Dynamic difficulty adjustment (DDA) is a method of automatically modifying a game’s features, behaviors, and scenarios in real-time, depending on the player’s skill, so that the player, when the game is very simple, does not feel bored or frustrated, when it is very difficult. The intent of the DDA is to keep the player engrossed till the end and to provide him/her with a challenging experience. In traditional games, difficulty levels increase linearly or stepwise during the course of the game. The features such as frequency, starting levels, or rates can be set only at the beginning of the game by choosing a level of difficulty. This can, however, result in a negative experience for players as they try to map a predecided learning curve. DDA attempts to solve this problem by presenting a customized solution for the gamers. This paper provides a review of the current approaches to DDA.

Designing Multiplayer Online Games Using the Real-Time Framework

2012 ◽  
pp. 290-321 ◽  
Author(s):  
Sergei Gorlatch ◽  
Frank Glinka ◽  
Alexander Ploss ◽  
Dominik Meiländer
Keyword(s):  
Real Time ◽  
Computer Games ◽  
Wide Spectrum ◽  
Online Games ◽  
Special Focus ◽  
Single Server ◽  
Multiplayer Online Games ◽  
Multiple Servers ◽  
Game State ◽  
And Migration

This chapter describes a novel, high-level approach to designing and executing online computer games. The approach is based on our Real-Time Framework (RTF) and suits a wide spectrum of online games including Massively Multiplayer Online Games (MMOG) and First-Person Shooters (FPS). The authors address major design issues like data structures and Area of Interest (AoI), with a special focus on the scalability of games implemented on multiple servers, including distribution of the game state, inter-server communication, object serialization and migration, etc. The chapter illustrates the approach with two case studies: the design of a new multi-player online game and bringing the single-server commercial game Quake 3 to multiple servers in order to increase the number of simultaneous players. The authors show the place of their approach in the taxonomy of game development approaches, and they report experimental results on the performance of games developed using RTF.

MODELING AND AUGMENTING GAME ENTERTAINMENT THROUGH CHALLENGE AND CURIOSITY

2007 ◽  
Vol 16 (06) ◽  
pp. 981-999 ◽  
Author(s):  
GEORGIOS N. YANNAKAKIS ◽  
JOHN HALLAM
Keyword(s):  
Real Time ◽  
Computer Games ◽  
Mixed Reality ◽  
Computer Game ◽  
Feedforward Neural Networks ◽  
Interactive Systems ◽  
Quantitative Measurements ◽  
Player Satisfaction ◽  
On Line ◽  
On Line Learning

This paper presents quantitative measurements/metrics of qualitative entertainment features within computer game environments and proposes artificial intelligence (AI) techniques for optimizing entertainment in such interactive systems. A human-verified metric of interest (i.e. player entertainment in real-time) for predator/prey games and a neuro-evolution on-line learning (i.e. during play) approach have already been reported in the literature to serve this purpose. In this paper, an alternative quantitative approach to entertainment modeling based on psychological studies in the field of computer games is introduced and a comparative study of the two approaches is presented. Feedforward neural networks (NNs) and fuzzy-NNs are used to model player satisfaction (interest) in real-time and investigate quantitatively how the qualitative factors of challenge and curiosity contribute to human entertainment. We demonstrate that appropriate non-extreme levels of challenge and curiosity generate high values of entertainment and we project the extensibility of the approach to other genres of digital entertainment (e.g. mixed-reality interactive playgrounds).

Real‐time Indirect Illumination of Emissive Inhomogeneous Volumes using Layered Polygonal Area Lights

2019 ◽  
Vol 38 (7) ◽  
pp. 449-460
Author(s):  
Takahiro Kuge ◽  
Tatsuya Yatagawa ◽  
Shigeo Morishima
Keyword(s):  
Real Time ◽  
Polygonal Area ◽  
Indirect Illumination

scholarly journals Real Time Animation of Trees Based on BBSC in Computer Games

2009 ◽  
Vol 2009 ◽  
pp. 1-8 ◽  
Author(s):  
Xuefeng Ao ◽  
Zhongke Wu ◽  
Mingquan Zhou
Keyword(s):  
Real Time ◽  
Computer Games ◽  
3D Model ◽  
Physical Simulation ◽  
High Demand ◽  
Complicated Structure ◽  
Tree Model ◽  
Model Trees ◽  
B Spline ◽  
Spline Curves

That researchers in the field of computer games usually find it is difficult to simulate the motion of actual 3D model trees lies in the fact that the tree model itself has very complicated structure, and many sophisticated factors need to be considered during the simulation. Though there are some works on simulating 3D tree and its motion, few of them are used in computer games due to the high demand for real-time in computer games. In this paper, an approach of animating trees in computer games based on a novel tree model representation—Ball B-Spline Curves (BBSCs) are proposed. By taking advantage of the good features of the BBSC-based model, physical simulation of the motion of leafless trees with wind blowing becomes easier and more efficient. The method can generate realistic 3D tree animation in real-time, which meets the high requirement for real time in computer games.

scholarly journals Handwriting Recognition in Free Space Using WIMU-Based Hand Motion Analysis

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Shashidhar Patil ◽  
Dubeom Kim ◽  
Seongsill Park ◽  
Youngho Chai
Keyword(s):  
Real Time ◽  
Motion Analysis ◽  
Computer Games ◽  
Free Space ◽  
Handwriting Recognition ◽  
Angular Rate ◽  
Measurement Unit ◽  
Hand Motion ◽  
Motion Data ◽  
3D Space

We present a wireless-inertial-measurement-unit- (WIMU-) based hand motion analysis technique for handwriting recognition in three-dimensional (3D) space. The proposed handwriting recognition system is not bounded by any limitations or constraints; users have the freedom and flexibility to write characters in free space. It uses hand motion analysis to segment hand motion data from a WIMU device that incorporates magnetic, angular rate, and gravity sensors (MARG) and a sensor fusion algorithm to automatically distinguish segments that represent handwriting from nonhandwriting data in continuous hand motion data. Dynamic time warping (DTW) recognition algorithm is used to recognize handwriting in real-time. We demonstrate that a user can freely write in air using an intuitive WIMU as an input and hand motion analysis device to recognize the handwriting in 3D space. The experimental results for recognizing handwriting in free space show that the proposed method is effective and efficient for other natural interaction techniques, such as in computer games and real-time hand gesture recognition applications.

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