Anisotropic potential field maximization model for subjective contour from line figure

  • Authors:

  • Osamu Hirose;Tomoharu Nagao

  • Affiliations:

  • Graduate School of Environment and Information Sciences, Yokohama National University, Yokohama, Kanagawa, Japan;Graduate School of Environment and Information Sciences, Yokohama National University, Yokohama, Kanagawa, Japan

  • Venue:
  • ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part I
  • Year:
  • 2007

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Abstract

The subjective contour generation in the human brain depends on the interaction of local and comprehensive processes realize this mechanism. The purpose of this paper is to propose a model that outputs subjective contours from line figures. This model, for a local process, detects endpoints and generates potential fields that represent probability of an occluding contour's existence. Each field is anisotropic and spreads perpendicularly to the line figure. Then, for a comprehensive process, the directions of potential fields are corrected to the degree their intersections are maximized in the image. Finally, it fixes subjective contours by tracking potential ridgelines and outputs a result image. The generated subjective contour is smoothly curved and the shape is appropriate compare to what we perceive.