Počet záznamů: 1
Materials Classification using Sparse Gray-Scale Bidirectional Reflectance Measurements
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SYSNO ASEP 0447072 Druh ASEP C - Konferenční příspěvek (mezinárodní konf.) Zařazení RIV D - Článek ve sborníku Název Materials Classification using Sparse Gray-Scale Bidirectional Reflectance Measurements Tvůrce(i) Filip, Jiří (UTIA-B) RID, ORCID
Somol, Petr (UTIA-B) RIDCelkový počet autorů 2 Zdroj.dok. Computer Analysis of Images and Patterns - CAIP 2015, I. - Switzerland : Springer International Publishing, 2015 / Azzopardi George ; Petkov Nicolai - ISSN 0302-9743 - ISBN 978-3-319-23192-1 Rozsah stran s. 289-299 Poč.str. 11 s. Forma vydání Nosič - C Akce 16th International Conference on Computer Analysis of Images and Patterns Datum konání 02.09.2015-04.09.2015 Místo konání Valletta Země MT - Malta Typ akce WRD Jazyk dok. eng - angličtina Země vyd. DE - Německo Klíč. slova BRDF ; material ; classification ; feature selection Vědní obor RIV BD - Teorie informace CEP GA14-02652S GA ČR - Grantová agentura ČR GA14-10911S GA ČR - Grantová agentura ČR Institucionální podpora UTIA-B - RVO:67985556 UT WOS 000364694000025 EID SCOPUS 84945971286 DOI https://doi.org/10.1007/978-3-319-23117-4_25 Anotace 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. Pracoviště Ústav teorie informace a automatizace Kontakt Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Rok sběru 2016
Počet záznamů: 1