| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0395214 |
| utime |
20240103202838.7 |
| mtime |
20130920235959.9 |
| DOI |
10.1007/978-3-642-40246-3_42 |
| title
(primary) (eng) |
A Moving Average Bidirectional Texture Function Model |
| specification |
| page_count |
8 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0395213 |
| ISBN |
978-3-642-40245-6 |
| ISSN |
0302-9743 |
| title
|
Computer Analysis of Images and Patterns |
| part_num |
II |
| part_title |
Part II |
| page_num |
338-345 |
| publisher |
| place |
Heidelberg |
| name |
Springer |
| year |
2013 |
|
| editor |
| name1 |
Wilson |
| name2 |
Richard |
|
| editor |
|
| editor |
| name1 |
Hancock |
| name2 |
Edwin |
|
| editor |
| name1 |
Smith |
| name2 |
William |
|
|
| keyword |
BTF |
| keyword |
texture analysis |
| keyword |
texture synthesis |
| keyword |
data compression |
| author
(primary) |
| ARLID |
cav_un_auth*0283206 |
| name1 |
Havlíček |
| name2 |
Michal |
| full_dept (cz) |
Rozpoznávání obrazu |
| full_dept (eng) |
Department of Pattern Recognition |
| department (cz) |
RO |
| department (eng) |
RO |
| institution |
UTIA-B |
| full_dept |
Department of Pattern Recognition |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0101093 |
| name1 |
Haindl |
| name2 |
Michal |
| full_dept (cz) |
Rozpoznávání obrazu |
| full_dept |
Department of Pattern Recognition |
| department (cz) |
RO |
| department |
RO |
| institution |
UTIA-B |
| full_dept |
Department of Pattern Recognition |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| project |
| project_id |
GA102/08/0593 |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0239567 |
|
| project |
| project_id |
GAP103/11/0335 |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0273627 |
|
| abstract
(eng) |
The Bidirectional Texture Function (BTF) is the recent most advanced representation of visual properties of surface materials. It specifies their appearance due to varying spatial, illumination, and viewing conditions. Corresponding enormous BTF measurements require a mathematical representation allowing extreme compression but simultaneously preserving its high visual fidelity. We present a novel BTF model based on a set of underlying mono-spectral two-dimensional (2D) moving average factors. A mono-spectral moving average model assumes that a stochastic mono-spectral texture is produced by convolving an uncorrelated 2D random field with a 2D filter which completely characterizes the texture. The BTF model combines several multi-spectral band limited spatial factors, subsequently factorized into a set of mono-spectral moving average representations, and range map to produce the required BTF texture space. |
| action |
| ARLID |
cav_un_auth*0293319 |
| name |
International Conference on Computer Analysis of Images and Patterns (CAIP 2013) /15./ |
| place |
York |
| dates |
27.08.2013-29.08.2013 |
| country |
GB |
|
| reportyear |
2014 |
| RIV |
BD |
| num_of_auth |
2 |
| presentation_type |
PR |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0223841 |
| mrcbT16-q |
100 |
| mrcbT16-s |
0.325 |
| mrcbT16-y |
16.75 |
| mrcbT16-x |
0.51 |
| mrcbT16-4 |
Q2 |
| mrcbT16-E |
Q3 |
| arlyear |
2013 |
| mrcbU63 |
cav_un_epca*0395213 Computer Analysis of Images and Patterns Part II II 978-3-642-40245-6 0302-9743 338 345 Heidelberg Springer 2013 Lecture Notes in Computer Science 8048 |
| mrcbU67 |
Wilson Richard 340 |
| mrcbU67 |
Bors Adrian 340 |
| mrcbU67 |
Hancock Edwin 340 |
| mrcbU67 |
Smith William 340 |
|