Abstract | ||
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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 |
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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 Thomas | 1 | 31 | 11.24 |
Jon Yngve Hardeberg | 2 | 365 | 59.20 |
Gabriele Simone | 3 | 77 | 8.42 |