• DocumentCode
    3292566
  • Title

    Photo-geometric registration via a coupled L filter

  • Author

    Imran, Saad Ali ; Aouf, Nabil ; Richardson, Mark

  • Author_Institution
    Dept. of Inf. & Syst. Eng., Cranfield Univ., Swindon, UK
  • fYear
    2013
  • fDate
    12-14 Dec. 2013
  • Firstpage
    1193
  • Lastpage
    1198
  • Abstract
    Presented is a coupled L filter capable of simultaneously estimating model parameters for photo-geometric registration between two (or more) images. We also introduce a colour code based clustering technique to group features for fast and reliable matching. This technique is based on the CIE colour model and is invariant to illumination changes. An increase in speed of almost 2 times is observed when constructing image mosaics from colour codes. We show that our filter estimates both the geometric and photometric models at the same time with low projection error. Furthermore, we show that our filter outperforms non-linear optimisation techniques.
  • Keywords
    image colour analysis; image matching; image registration; image segmentation; optimisation; photometry; CIE colour model; clustering technique; colour code; coupled L filter; estimating model parameters; geometric models; group features; image mosaics; nonlinear optimisation; photo-geometric registration; photometric models; reliable matching; Clustering algorithms; Encoding; Feature extraction; Image coding; Image color analysis; Matched filters; Optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Biomimetics (ROBIO), 2013 IEEE International Conference on
  • Conference_Location
    Shenzhen
  • Type

    conf

  • DOI
    10.1109/ROBIO.2013.6739626
  • Filename
    6739626