| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0447072 |
| utime |
20240103210531.2 |
| mtime |
20150910235959.9 |
| WOS |
000364694000025 |
| SCOPUS |
84945971286 |
| DOI |
10.1007/978-3-319-23117-4_25 |
| title
(primary) (eng) |
Materials Classification using Sparse Gray-Scale Bidirectional Reflectance Measurements |
| specification |
| page_count |
11 s. |
| media_type |
C |
|
| serial |
| ARLID |
cav_un_epca*0447047 |
| ISBN |
978-3-319-23192-1 |
| ISSN |
0302-9743 |
| title
|
Computer Analysis of Images and Patterns - CAIP 2015 |
| part_num |
I |
| part_title |
9256 |
| page_num |
289-299 |
| publisher |
| place |
Switzerland |
| name |
Springer International Publishing |
| year |
2015 |
|
| editor |
| name1 |
Azzopardi |
| name2 |
George |
|
| editor |
| name1 |
Petkov |
| name2 |
Nicolai |
|
|
| keyword |
BRDF |
| keyword |
material |
| keyword |
classification |
| keyword |
feature selection |
| author
(primary) |
| ARLID |
cav_un_auth*0101086 |
| name1 |
Filip |
| name2 |
Jiří |
| 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 |
| share |
50 |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0101197 |
| name1 |
Somol |
| name2 |
Petr |
| 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 |
| share |
50 |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| project |
| project_id |
GA14-02652S |
| agency |
GA ČR |
| country |
CZ |
| ARLID |
cav_un_auth*0303412 |
|
| project |
| project_id |
GA14-10911S |
| agency |
GA ČR |
| country |
CZ |
| ARLID |
cav_un_auth*0303439 |
|
| abstract
(eng) |
Material recognition applications use typically color texture-based features; however, the underlying measurements are in several application fields unavailable or too expensive. Therefore, bidirectional reflectance measurements are used, i.e., dependent on both illumination and viewing directions. But even measurement of such BRDF data is very time- and resources-demanding. In this paper we use dependency-aware feature selection method to identify very sparse set of the most discriminative bidirectional reflectance samples that can reliably distinguish between three types of materials from BRDF database - fabric, wood, and leather. We conclude that ten gray-scale samples primarily at high illumination and viewing elevations are sufficient to identify type of material with accuracy over 96/%. We analyze estimated placement of the bidirectional samples for discrimination between different types of materials. The stability of such directional samples is very high as was verified by an additional leave-one-out classification experiment. |
| action |
| ARLID |
cav_un_auth*0319317 |
| name |
16th International Conference on Computer Analysis of Images and Patterns |
| place |
Valletta |
| dates |
02.09.2015-04.09.2015 |
| country |
MT |
|
| reportyear |
2016 |
| RIV |
BD |
| num_of_auth |
2 |
| presentation_type |
PO |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0249084 |
| confidential |
S |
| mrcbT16-s |
0.329 |
| mrcbT16-4 |
Q2 |
| mrcbT16-E |
Q2 |
| arlyear |
2015 |
| mrcbU14 |
84945971286 SCOPUS |
| mrcbU34 |
000364694000025 WOS |
| mrcbU63 |
cav_un_epca*0447047 Computer Analysis of Images and Patterns - CAIP 2015 I 978-3-319-23192-1 0302-9743 289 299 Computer Analysis of Images and Patterns - CAIP 2015 Switzerland Springer International Publishing 2015 Lecture Notes in Computer Science 9256 |
| mrcbU67 |
Azzopardi George 340 |
| mrcbU67 |
Petkov Nicolai 340 |
|