Real-time approximation of a normal distribution function for normal-mapped surfaces

Han Sung Son, Junghyun Han

Research output: Contribution to journalArticle

Abstract

This paper proposes to pre-compute approximate normal distribution functions and store them in textures such that real-time applications can process complex specular surfaces simply by sampling the textures. The proposed method is compatible with the GPU pipeline-based algorithms, and rendering is completed at real time. The experimental results show that the features of complex specular surfaces, such as the glinty appearance of leather and metallic flakes, are successfully reproduced.

Original languageEnglish
Pages (from-to)1462-1465
Number of pages4
JournalIEICE Transactions on Information and Systems
VolumeE101D
Issue number5
DOIs
Publication statusPublished - 2018 May 1

Keywords

  • Normal distribution function
  • Normal map filtering
  • Real-time rendering

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Artificial Intelligence

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