Real-Time Rendering

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A01=Gabriyel Wong
A01=Jianliang Wang
adaptive resource allocation
advanced rendering control engineering
and Possibilities
ANFIS
ANFIS Architecture
ANFIS Controller
ANFIS Model
ANFIS Training
Applications
Author_Gabriyel Wong
Author_Jianliang Wang
Category=UG
Challenges
Closed Loop Feedback Control System
computer graphics algorithms
Control System Framework
control theory applications
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eq_computing
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eq_isMigrated=2
eq_nobargain
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Fuzzy Control System
Fuzzy Control Techniques
Fuzzy Controller
Fuzzy Inference System
Fuzzy Logic Controller
fuzzy logic optimization
Fuzzy Logic Toolbox
interactive visualization techniques
Linear Model Analysis of Real-Time Rendering
Mamdani Fuzzy Model
MATLAB Fuzzy Logic Toolbox
Membership Function
MLP Network
Model-Based Control
Model-less Control
Modelling Non-Linear Rendering Processes
neural network control systems
Pid Control
Pid Control System
PID Controller
Real Time Rendering
Real Time Rendering Application
Real Time Rendering Process
Time Delay Neural Network
Vertex Count

Product details

  • ISBN 9781466583597
  • Weight: 570g
  • Dimensions: 156 x 234mm
  • Publication Date: 14 Oct 2013
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
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Consumers today expect extremely realistic imagery generated in real time for interactive applications such as computer games, virtual prototyping, and scientific visualisation. However, the increasing demands for fidelity coupled with rapid advances in hardware architecture pose a challenge: how do you find optimal, sustainable solutions to accommodate both speed of rendering and quality? Real-Time Rendering: Computer Graphics with Control Engineering presents a novel framework for solving the perennial challenge of resource allocation and the trade-off between quality and speed in interactive computer graphics rendering.

Conventional approaches are mainly based on heuristics and algorithms, are largely application specific, and offer fluctuating performance, particularly as applications become more complex. The solution proposed by the authors draws on powerful concepts from control engineering to address these shortcomings. Expanding the horizon of real-time rendering techniques, this book:

  • Explains how control systems work with real-time computer graphics
  • Proposes a data-driven modelling approach that more accurately represents the system behaviour of the rendering process
  • Develops a control system strategy for linear and non-linear models using proportional, integral, derivative (PID) and fuzzy control techniques
  • Uses real-world data from rendering applications in proof-of-concept experiments
  • Compares the proposed solution to existing techniques
  • Provides practical details on implementation, including references to tools and source code

This pioneering work takes a major step forward by applying control theory in the context of a computer graphics system. Promoting cross-disciplinary research, it offers guidance for anyone who wants to develop more advanced solutions for real-time computer graphics rendering.

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