| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0643905 |
| utime |
20260115100715.5 |
| mtime |
20260105235959.9 |
| title
(primary) (eng) |
MatTag: Practical material tagging using visual fingerprints |
| specification |
| page_count |
11 s. |
| media_type |
E |
|
| serial |
| ARLID |
cav_un_epca*0643904 |
| ISSN |
1613-0073 |
| title
|
Proceedings of the MANER Conference Mainz/Darmstadt 2025 (MANER 2025) |
| publisher |
| place |
Germany |
| name |
CEUR-WS |
| year |
2025 |
|
| editor |
| name1 |
Urban |
| name2 |
Philipp |
|
| editor |
| name1 |
von Castell |
| name2 |
Christoph Freiherr |
|
| editor |
| name1 |
Hardeberg |
| name2 |
Jon Yngve |
|
| editor |
| name1 |
Fleming |
| name2 |
Roland W. |
|
| editor |
| name1 |
Gigilashvili |
| name2 |
Davit |
|
|
| keyword |
Material Appearance |
| keyword |
Perceptual Attributes |
| keyword |
Visual Fingerprint |
| keyword |
Smartphone Application |
| keyword |
Material Retrieval |
| author
(primary) |
| ARLID |
cav_un_auth*0500278 |
| name1 |
Staš |
| name2 |
Adam |
| institution |
UTIA-B |
| full_dept (cz) |
Rozpoznávání obrazu |
| full_dept (eng) |
Department of Pattern Recognition |
| department (cz) |
RO |
| department (eng) |
RO |
| country |
CZ |
| share |
50 |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0500279 |
| name1 |
Pilař |
| name2 |
Daniel |
| institution |
UTIA-B |
| full_dept (cz) |
Rozpoznávání obrazu |
| full_dept |
Department of Pattern Recognition |
| department (cz) |
RO |
| department |
RO |
| country |
CZ |
| share |
25 |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0101086 |
| name1 |
Filip |
| name2 |
Jiří |
| institution |
UTIA-B |
| full_dept (cz) |
Rozpoznávání obrazu |
| full_dept |
Department of Pattern Recognition |
| department (cz) |
RO |
| department |
RO |
| share |
25 |
| garant |
K |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| project |
| project_id |
GA22-17529S |
| agency |
GA ČR |
| country |
CZ |
| ARLID |
cav_un_auth*0439849 |
|
| abstract
(eng) |
Assessment of material properties is essential for tasks such as similar material retrieval or swatch comparison in industrial design, manufacturing, and quality control. While many material similarity measures exist, they often fail to align with human perception. In this paper, we introduce a novel smartphone application using a machine learning model that leverages a perceptual representation known as the visual fingerprint of materials—linking image-based measurements to intuitive, human-understandable attributes. Trained on human ratings collected through psychophysical studies, the model can predict a material’s visual fingerprint using just two photographs captured under different lighting conditions. The application employ this model to assess any planar material sample using only a printed registration template and a flashlight. The app captures two photographs and predicts the material’s perceptual attributes. We demonstrate several practical use cases, including building personal material databases, retrieving visually similar materials, and exploring materials that match user-defined perceptual criteria. By enabling perceptually grounded comparisons and metadata extraction, our application provides a standardized representation of material appearance. This marks a step toward more intuitive and interoperable use of material properties across diverse digital environments. |
| action |
| ARLID |
cav_un_auth*0500280 |
| name |
MANER 2025 |
| dates |
20250629 |
| mrcbC20-s |
20250629 |
| place |
Mainz/Darmstadt |
| country |
DE |
|
| RIV |
IN |
| FORD0 |
20000 |
| FORD1 |
20200 |
| FORD2 |
20201 |
| reportyear |
2026 |
| num_of_auth |
3 |
| presentation_type |
PR |
| inst_support |
RVO:67985556 |
| permalink |
https://hdl.handle.net/11104/0374431 |
| confidential |
S |
| article_num |
4 |
| arlyear |
2025 |
| mrcbU14 |
SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
WOS |
| mrcbU63 |
cav_un_epca*0643904 Proceedings of the MANER Conference Mainz/Darmstadt 2025 (MANER 2025) 1613-0073 0074-4135 Germany CEUR-WS 2025 Vol-4135 CEUR Workshop Proceedings 4135 |
| mrcbU67 |
Urban Philipp 340 |
| mrcbU67 |
von Castell Christoph Freiherr 340 |
| mrcbU67 |
Hardeberg Jon Yngve 340 |
| mrcbU67 |
Fleming Roland W. 340 |
| mrcbU67 |
Gigilashvili Davit 340 |
|