• DocumentCode
    254050
  • Title

    Backscatter Compensated Photometric Stereo with 3 Sources

  • Author

    Tsiotsios, Chourmouzios ; Angelopoulou, Maria E. ; Tae-Kyun Kim ; Davison, Andrew J.

  • Author_Institution
    Imperial Coll. London, London, UK
  • fYear
    2014
  • fDate
    23-28 June 2014
  • Firstpage
    2259
  • Lastpage
    2266
  • Abstract
    Photometric stereo offers the possibility of object shape reconstruction via reasoning about the amount of light reflected from oriented surfaces. However, in murky media such as sea water, the illuminating light interacts with the medium and some of it is backscattered towards the camera. Due to this additive light component, the standard Photometric Stereo equations lead to poor quality shape estimation. Previous authors have attempted to reformulate the approach but have either neglected backscatter entirely or disregarded its non-uniformity on the sensor when camera and lights are close to each other. We show that by compensating effectively for the backscatter component, a linear formulation of Photometric Stereo is allowed which recovers an accurate normal map using only 3 lights. Our backscatter compensation method for point-sources can be used for estimating the uneven backscatter directly from single images without any prior knowledge about the characteristics of the medium or the scene. We compare our method with previous approaches through extensive experimental results, where a variety of objects are imaged in a big water tank whose turbidity is systematically increased, and show reconstruction quality which degrades little relative to clean water results even with a very significant scattering level.
  • Keywords
    backscatter; image reconstruction; photometry; stereo image processing; turbidity; accurate normal map recovery; backscatter compensated photometric stereo; backscatter component; big water tank; light sources; object imaging; point-sources; reconstruction quality; scattering level; turbidity; Backscatter; Brightness; Cameras; Lighting; Mathematical model; Scattering; Shape; backscatter; photometric stereo; restoration; scattering; underwater vision;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on
  • Conference_Location
    Columbus, OH
  • Type

    conf

  • DOI
    10.1109/CVPR.2014.289
  • Filename
    6909686