Refraction Rendering with Spectral Interval Sampling

Ching Pan*, Fei Lee, Chun Fa Chang

*此作品的通信作者

研究成果: 書貢獻/報告類型會議論文篇章

摘要

The Monte Carlo rendering method requires sampling an additional spectral domain to produce advanced light phenomena like chromatic dispersion. However, this extension can lead to chromatic noise and slow convergence, which can be partially addressed through proper sample distribution. In this paper, we introduce a multiple wavelength sampling method that focuses on refractive dispersion effects for a single path. By combining the idea of line sampling used in direct illumination with the specular chain's property, we find a continuous solution space that we call the spectral interval. We then perform an analytical integration for incoming spectral radiance within this interval. This allows us to achieve low variance and reduced noise at a lower cost compared to naive sampling methods. Finally, our method can be integrated into existing Monte Carlo methods built within path space.

原文英語
主出版物標題2023 9th International Conference on Applied System Innovation, ICASI 2023
編輯Shoou-Jinn Chang, Sheng-Joue Young, Artde Donald Kin-Tak Lam, Liang-Wen Ji, Stephen D. Prior
發行者Institute of Electrical and Electronics Engineers Inc.
頁面163-165
頁數3
ISBN(電子)9798350398380
DOIs
出版狀態已發佈 - 2023
事件9th International Conference on Applied System Innovation, ICASI 2023 - Chiba, 日本
持續時間: 2023 4月 212023 4月 25

出版系列

名字2023 9th International Conference on Applied System Innovation, ICASI 2023

會議

會議9th International Conference on Applied System Innovation, ICASI 2023
國家/地區日本
城市Chiba
期間2023/04/212023/04/25

ASJC Scopus subject areas

  • 人工智慧
  • 電腦科學應用
  • 硬體和架構
  • 資訊系統
  • 資訊系統與管理
  • 電氣與電子工程
  • 機械工業
  • 電子、光磁材料

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