• DocumentCode
    1740907
  • Title

    Adapting scale by minimising spectral defocusing for shape from texture

  • Author

    Ribiero, E. ; Hancock, Edwin R.

  • Author_Institution
    Dept. of Comput. Sci., York Univ., UK
  • Volume
    3
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    893
  • Abstract
    Spectral analysis provides a powerful means of estimating the perspective pose of texture planes. Unfortunately one of the problems that restricts the utility of the method is the need to set the size of the spectral window. For texture planes viewed under extreme perspective distortion, the spectral frequency density may vary rapidly across the image plane. If the size of the window is mismatched to the underlying texture distribution, then the estimated frequency spectrum may become severely defocused. This in turn limits the accuracy of perspective pose estimation. The aim in this paper is to describe an adaptive method for setting the size of the spectral window. We provide an analysis which shows that there is a window size that minimises the degree of defocusing
  • Keywords
    adaptive signal processing; image texture; minimisation; spectral analysis; adaptive method; image plane; perspective distortion; perspective pose; shape; shape from texture; spectral analysis; spectral defocusing; spectral frequency density; spectral window; texture planes; Adaptive filters; Computer science; Covariance matrix; Frequency estimation; Image edge detection; Merging; Optimized production technology; Shape; Spectral analysis; Spectrogram;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2000. Proceedings. 2000 International Conference on
  • Conference_Location
    Vancouver, BC
  • ISSN
    1522-4880
  • Print_ISBN
    0-7803-6297-7
  • Type

    conf

  • DOI
    10.1109/ICIP.2000.899600
  • Filename
    899600