Title
Image Contrast Measure As A Gloss Material Descriptor
Abstract
Bidirectional reflectance distribution function provides a physical description of material appearance. In particular, it helps to describe the gloss. We suggest that, at least, one attribute of gloss: Contrast gloss (luster), may be described directly from an image by using local image contrast measurement. In this article, we investigate the relation between image contrast measures, gloss perception and bidirectional reflectance distribution function based on theWard's a model parameter. Although more investigation is required to provide stronger conclusions, it seems that image related contrast measures may provide an indication of gloss perception.
Year
DOI
Venue
2017
10.1007/978-3-319-56010-6_20
COMPUTATIONAL COLOR IMAGING, CCIW 2017
Keywords
Field
DocType
Gloss perception, Contrast measurement, Gloss descriptor, Contrast gloss
Bidirectional reflectance distribution function,Computer vision,Pattern recognition,Computer science,Gloss (annotation),Artificial intelligence,Lustre (mineralogy),Perception,Model parameter
Conference
Volume
ISSN
Citations 
10213
0302-9743
0
PageRank 
References 
Authors
0.34
7
3
Name
Order
Citations
PageRank
Jean-Baptiste Thomas13111.24
Jon Yngve Hardeberg236559.20
Gabriele Simone3778.42