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Exploiting Photometric and Chromatic Attributes in a Perceptual Organization Framework

O. Henricson and M. Stricker
ACCV'95, Second Asian Conference on Computer Vision


We present a technique to extract complex perceptual structures for which no specific template exists. We show how to relate and group contours based on similarity in position, orientation, and photometric and chromatic properties. By fusing all these sources of information we can robustly group contours on other grounds than geometric regularity while keeping the combinatorics under control. In addition we use a data-driven selection technique that drastically reduces the complexity of the task. We present the approach and show some results.

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  author = {O. Henricson and M. Stricker},
  title = {Exploiting Photometric and Chromatic Attributes in a Perceptual Organization Framework},
  booktitle = {ACCV'95, Second Asian Conference on Computer Vision},
  year = {1995},
  pages = {258-262},
  keywords = {segmentation,contour,grouping,color}