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Author:   Partick M. Hanrahan ,  Werner Purgathofer
Publisher:   Springer Verlag GmbH
Imprint:   Springer Verlag GmbH
Edition:   Softcover reprint of the original 1st ed. 1995
Dimensions:   Width: 17.00cm , Height: 2.00cm , Length: 24.40cm
Weight:   0.720kg
ISBN:  

9783211827338

ISBN 10:   3211827331
Pages:   375
Publication Date:   03 August 1995
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Out of stock  
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Table of Contents

Pyramid Clipping for Efficient Ray Traversal.- A 5D Tree to Reduce the Variance of Monte Carlo Ray Tracing.- Space Deformation using Ray Deflectors.- Bridging between Surface Rendering and Volume Rendering for Multi-resolution Display.- Multiple Scattering as a Diffusion Process.- Optimized Maximum Intensity Projection (MIP).- Spatial Domain Characterization and Control of Reconstruction Errors.- Rendering Trees from Precomputed Z-Buffer Views.- Comparing Real and Synthetic Images: Some Ideas about Metrics.- A Framework for Global Illumination in Animated Environments.- Making Global Illumination User-friendly.- The Role of Functional Analysis in Global Illumination.- From Local to Global Illumination and Back.- A Radiosity Approach for the Simulation of Daylight.- Modeling the Spatial Energy Distribution of Complex Light Sources for Lighting Engineering.- Painting Surface Characteristics.- Linear Radiosity with Error Estimation.- Accurate Computation of the Radiosity Gradient for Constant and Linear Emitters.- A Clustering Algorithm for Radiance Calculation in General Environments.- The Stochastic Ray Method for Radiosity.- Global Illumination via Density Estimation.- Global Monte Carlo. A Progressive Solution.- Smart Links and Efficient Reconstruction for Wavelet Radiosity.- Spherical Wavelets: Texture Processing.- Integration Methods for Galerkin Radiosity Couplings.- Reconstruction of Illumination from Area Luminaires.- A Two-Pass Solution to the Rendering Equation with a Source Visibility Process.- Separating Reflection Functions for Linear Radiosity.- Potential-driven Monte Carlo Particle Tracing for Diffuse Environments with Adaptive Probability Functions.- Importance-Driven Progressive Refinement Radiosity.- Importance Driven Path Tracing using the Photon Map.- The Constant Radiosity Step.- Fast Radiosity Solutions for Environments with High Average Reflectance.- Appendix: Color Images.

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