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

Han Sung Son; Jung Hyun Han

doi:10.1587/transinf.2017EDL8212

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

Han Sung Son, Jung Hyun Han

Department of Computer Science and Engineering

Research output: Contribution to journal › Article › peer-review

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 language	English
Pages (from-to)	1462-1465
Number of pages	4
Journal	IEICE Transactions on Information and Systems
Volume	E101D
Issue number	5
DOIs	https://doi.org/10.1587/transinf.2017EDL8212
Publication status	Published - 2018 May

Bibliographical note

Funding Information:
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (No. NRF-2017M3C4A7066316).

Publisher Copyright:
© 2018 The Institute of Electronics, Information and Communication Engineers.

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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10.1587/transinf.2017EDL8212

Cite this

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title = "Real-time approximation of a normal distribution function for normal-mapped surfaces",

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.",

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AB - 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.

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

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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