A BRDF representing method based on Gaussian process

Jianying Hao, Yue Liu, Dongdong Weng*

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

3 引用 (Scopus)

摘要

In recent years, digital reconstruction of cultural heritage provides an effective way of protecting historical relics, in which the modeling of surface reflection of historical heritage with high fidelity places a very important role. In this paper Gaussian process (GP) regression based approach is proposed to model the reflection properties of real materials, in which the simulation data generated by the existing model are both used as the training data and the proof that Gaussian process model can be used to describe the material reflection. Matusik’s MERL database is also adopted to perform training and inference and obtain the reflection model of the real material. Simulation results show that the proposed GP regression approach can achieve a good fitting of the reflection properties of certain materials, greatly reduce the BRDF measurement time and ensure high realistic rendering at the same time.

源语言英语
主期刊名Computer Vision - ACCV 2014 Workshops, Revised Selected Papers
编辑C.V. Jawahar, Shiguang Shan
出版商Springer Verlag
542-553
页数12
ISBN(印刷版)9783319166308
DOI
出版状态已出版 - 2015
活动12th Asian Conference on Computer Vision, ACCV 2014 - Singapore, 新加坡
期限: 1 11月 20145 11月 2014

出版系列

姓名Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
9009
ISSN(印刷版)0302-9743
ISSN(电子版)1611-3349

会议

会议12th Asian Conference on Computer Vision, ACCV 2014
国家/地区新加坡
Singapore
时期1/11/145/11/14

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