Bidirectional Texture Function Modeling Using Optimized Reparameterization in the Lighting and Viewing Space
碩士 === 國立交通大學 === 多媒體工程研究所 === 97 === We present a new approach to model BTF data using multivariate SRBF kernels. More importantly, we propose a data-dependent parameterization method in which optimal parameterization in the lighting and viewing space that minimizes the modeling error is obtained....
Main Authors: | , |
---|---|
Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2008
|
Online Access: | http://ndltd.ncl.edu.tw/handle/06250985214224252178 |
id |
ndltd-TW-097NCTU5641007 |
---|---|
record_format |
oai_dc |
spelling |
ndltd-TW-097NCTU56410072015-10-13T13:11:49Z http://ndltd.ncl.edu.tw/handle/06250985214224252178 Bidirectional Texture Function Modeling Using Optimized Reparameterization in the Lighting and Viewing Space 在光源及視點空間最佳重新參數化的雙向貼圖函數模型 Kuei-Li Fang 方奎力 碩士 國立交通大學 多媒體工程研究所 97 We present a new approach to model BTF data using multivariate SRBF kernels. More importantly, we propose a data-dependent parameterization method in which optimal parameterization in the lighting and viewing space that minimizes the modeling error is obtained. To speed up our BTF modeling computation and improve spatial coherence of acquired BTF model, we utilize a mipmap hierarchy in our BTF model, which can be nicely integrated with graphics hardware when rendering BTF data. Our experiments show that the optimal parameterization does provide better accuracy than a fixed parameterization such as the half-way parameterization. In addition, real-time rendering of BTF from novel viewing or lighting direction that is not recorded in the original BTF database can be achieved easily. Wen-Chieh Lin 林文杰 2008 學位論文 ; thesis 34 zh-TW |
collection |
NDLTD |
language |
zh-TW |
format |
Others
|
sources |
NDLTD |
description |
碩士 === 國立交通大學 === 多媒體工程研究所 === 97 === We present a new approach to model BTF data using multivariate SRBF kernels. More importantly, we propose a data-dependent parameterization method in which optimal parameterization in the lighting and viewing space that minimizes the modeling error is obtained. To speed up our BTF modeling computation and improve spatial coherence of acquired BTF model, we utilize a mipmap hierarchy in our BTF model, which can be nicely integrated with graphics hardware when rendering BTF data. Our experiments show that the optimal parameterization does provide better accuracy than a fixed parameterization such as the half-way parameterization. In addition, real-time rendering of BTF from novel viewing or lighting direction that is not recorded in the original BTF database can be achieved easily.
|
author2 |
Wen-Chieh Lin |
author_facet |
Wen-Chieh Lin Kuei-Li Fang 方奎力 |
author |
Kuei-Li Fang 方奎力 |
spellingShingle |
Kuei-Li Fang 方奎力 Bidirectional Texture Function Modeling Using Optimized Reparameterization in the Lighting and Viewing Space |
author_sort |
Kuei-Li Fang |
title |
Bidirectional Texture Function Modeling Using Optimized Reparameterization in the Lighting and Viewing Space |
title_short |
Bidirectional Texture Function Modeling Using Optimized Reparameterization in the Lighting and Viewing Space |
title_full |
Bidirectional Texture Function Modeling Using Optimized Reparameterization in the Lighting and Viewing Space |
title_fullStr |
Bidirectional Texture Function Modeling Using Optimized Reparameterization in the Lighting and Viewing Space |
title_full_unstemmed |
Bidirectional Texture Function Modeling Using Optimized Reparameterization in the Lighting and Viewing Space |
title_sort |
bidirectional texture function modeling using optimized reparameterization in the lighting and viewing space |
publishDate |
2008 |
url |
http://ndltd.ncl.edu.tw/handle/06250985214224252178 |
work_keys_str_mv |
AT kueilifang bidirectionaltexturefunctionmodelingusingoptimizedreparameterizationinthelightingandviewingspace AT fāngkuílì bidirectionaltexturefunctionmodelingusingoptimizedreparameterizationinthelightingandviewingspace AT kueilifang zàiguāngyuánjíshìdiǎnkōngjiānzuìjiāzhòngxīncānshùhuàdeshuāngxiàngtiētúhánshùmóxíng AT fāngkuílì zàiguāngyuánjíshìdiǎnkōngjiānzuìjiāzhòngxīncānshùhuàdeshuāngxiàngtiētúhánshùmóxíng |
_version_ |
1717734233271697408 |