bibtype A - Abstract
ARLID 0647367
utime 20260415141741.7
mtime 20260313235959.9
title (primary) (eng) Measuring Directional Appearance of Shiny Fabrics Using an Extended Flop Index
specification
page_count 1 s.
media_type E
serial
ARLID cav_un_epca*0647366
title Vision and Depiction - II
publisher
place Delft
name Delft University of Technology
year 2026
keyword Flop index
keyword Shiny fabric
keyword appearance
author (primary)
ARLID cav_un_auth*0101086
name1 Filip
name2 Jiří
institution UTIA-B
full_dept (cz) Rozpoznávání obrazu
full_dept (eng) Department of Pattern Recognition
department (cz) RO
department (eng) RO
full_dept Department of Pattern Recognition
share 90
garant K
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0505476
name1 Roy
name2 N.
country CA
share 10
source
url https://library.utia.cas.cz/separaty/2026/RO/filip-0647367.pdf
cas_special
abstract (eng) The flop index is a widely used metric in the coatings industry that quantifies directional lightness variation between specular and off-specular viewing geometries within a fixed in-plane configuration. It describes the perceptual transition between the face color observed near the specular direction and the flop color seen at a glancing angle, characterizing the “color travel” typical of metallic and pearlescent coatings. We extend this concept to the domain of fabrics, introducing a quantitative method for evaluating their directional optical behavior. Directional effects in shiny polyester textiles arise from the combined influence of yarn geometry, reflective properties, and weave structure, which generate local shadowing, masking, and inter-fiber reflections. Unlike coatings, which are largely isotropic under in-plane rotation, woven materials exhibit strong azimuthal anisotropy, causing their appearance to vary significantly with orientation relative to illumination and view. In current practice, apparel designers assess directionality through visual rotation tests under controlled lighting, short drape-and-motion videos, or by using gloss meters and multi-angle color measurements sampled over azimuth. However, these methods yield fragmented indicators rather than a unified quantitative descriptor. We compute the classic flop index across a series of in-plane orientations using bidirectional reflectance distribution function (BRDF) data acquired with a goniometric setup. The resulting directional flop profiles reveal dominant anisotropy directions and relative strengths, capturing subtle variations in sheen and highlight travel caused by weave geometry. The same approach can be implemented using simplified multi-angle instruments outside laboratory conditions. This method establishes a direct link between fabric structure and perceived visual dynamics, offering an objective tool for comparing textiles and guiding digital appearance modeling and apparel design, where controlled directional highlights enhance visual expressiveness, paralleling the coatings industry’s use of the flop index to optimize color travel.
action
ARLID cav_un_auth*0505477
name Vision and Depiction - II
dates 20260204
mrcbC20-s 20260206
place Delft
url https://visionanddepiction.github.io/
country NL
RIV BD
FORD0 20000
FORD1 20200
FORD2 20205
reportyear 2027
num_of_auth 2
presentation_type PR
inst_support RVO:67985556
permalink https://hdl.handle.net/11104/0378100
mrcbC61 1
confidential S
arlyear 2026
mrcbU14 SCOPUS
mrcbU24 PUBMED
mrcbU34 WOS
mrcbU63 cav_un_epca*0647366 Vision and Depiction - II Delft University of Technology 2026 Delft