• DocumentCode
    3427905
  • Title

    Matching Dry to Wet Materials

  • Author

    Yacoob, Yaser

  • Author_Institution
    Comput. Vision Lab., Univ. of Maryland, College Park, MD, USA
  • fYear
    2013
  • fDate
    1-8 Dec. 2013
  • Firstpage
    2952
  • Lastpage
    2959
  • Abstract
    When a translucent liquid is spilled over a rough surface it causes a significant change in the visual appearance of the surface. This wetting phenomenon is easily detected by humans, and an early model was devised by the physicist Andres Jonas Angstrom nearly a century ago. In this paper we investigate the problem of determining if a wet/dry relationship between two image patches explains the differences in their visual appearance. Water tends to be the typical liquid involved and therefore it is the main objective. At the same time, we consider the general problem where the liquid has some of the characteristics of water (i.e., a similar refractive index), but has an unknown spectral absorption profile (e.g., coffee, tea, wine, etc.). We report on several experiments using our own images, a publicly available dataset, and images downloaded from the web.
  • Keywords
    image matching; refractive index; wetting; coffee; downloaded images; dry-to-wet materials matching; image patches; refractive index; spectral absorption profile; tea; translucent liquid; wet-dry relationship; wetting phenomenon; wine; Absorption; Liquids; Optical surface waves; Rough surfaces; Surface roughness; Surface treatment; Dry surfaces; Wet surfaces; spectral absorption;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision (ICCV), 2013 IEEE International Conference on
  • Conference_Location
    Sydney, NSW
  • ISSN
    1550-5499
  • Type

    conf

  • DOI
    10.1109/ICCV.2013.367
  • Filename
    6751478