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Low--discrepancy Sequence Path Tracing

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目录

声明

Abstract

Table of contents

List of figures

List of tables

Chapter 1 Introduction

1.1 Research Background and Significance

1.2 Research Actuality

1.2.1 Graphic Processing Algorithms

1.2.2 The Development and Status of Hardware Architecture of GPU

1.3 Research Content

1.4 Chapter Arrangement

Chapter 2 Related Concepts

2.1 Research Motivation

2.2 Geometric Optical Model

2.2.1Illumination Measurement

2.2.2 Bidirectional Reflectance Distribution Function(BRDF)

2.3 Rendering Equation and Ray Tracing

2.4 Path Tracing

2.5 Monte-Carlo Integral

Chapter 3 Monte-Carlo Path Tracing and Implementation of Common Illumination Models

3.1 Research Motivation

3.2 Overview

3.3 Monte-Carlo Path Tracing Implementation and Con-vergence Analysis

3.3.1 Algorithms Overview

3.3.2 Intersection Calculation

3.3.3 Calculation the Color of Pixel

3.3.4 Depth Control

3.3.5 Experimental Result and Instance Display

3.4 Experiment on Convergence Analysis of Termination Conditions

3.5 Implementation of Illumination Models

3.5.1 Overview of Illumination Models

3.5.2 Specular Reflection

3.5.3 Diffuse Reflection

3.6 Experimental Result and Analysis

Chapter 4 Low discrepancy Ray Tracing

4.1 Research Motivation

4.2 Metrics of the Global Illumination Algorithm

4.2.1 Robustness,Rendering Speed and Accuracy

4.2.2 Discrepancy and Consistency

4.3 Low-Discrepancy Sequence Path Tracing

4.3.1 Convergence analysis of Path Tracing

4.4 Experiment Result and Analysis

4.4.1 Comparison of Convergence between Low Discrepancy Sequences and Random Sequences

4.4.2 Efficient Implementation of Low-Discrepancy Sequences

4.4.3 Unbiased Low-Discrepancy Sequence Path Tracing Algorithms

4.4.4 Conclusion

Chapter 5 Parallel Low-Discrepancy Sequence Path Tracing Algorithm

5.1 Research Motivation

5.2 Parallel Low-Discrepancy Sequence Path Tracing Al-gorithm

5.2.1 Parallel Low-Discrepancy Sequence Path Tracing Based on OpenMP

5.2.2 Parallel Low-Discrepancy Sequence Path Tracing Based on CUDA

5.3 Experimental Results and Analysis

Chapter 6 Conclusion

References

Appendix A 中文摘要

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著录项

  • 作者

    Qi Xiong;

  • 作者单位

    华中师范大学;

  • 授予单位 华中师范大学;
  • 学科 Master of Engineering
  • 授予学位 硕士
  • 导师姓名 Zhifeng Wang;
  • 年度 2019
  • 页码
  • 总页数
  • 原文格式 PDF
  • 正文语种 中文
  • 中图分类
  • 关键词

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