Journal of Institute of Control, Robotics and Systems (제어로봇시스템학회논문지)

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Stereo Matching Method using Directional Feature Vector

방향성 특징벡터를 이용한 스테레오 정합 기법

  • 문창기 (극동대학교 컴퓨터정보표준학부) ;
  • 전종현 (극동대학교 컴퓨터정보표준학부) ;
  • 예철수 (극동대학교 컴퓨터정보표준학부)
  • Published : 2007.01.01
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Abstract

In this paper we proposed multi-directional matching windows combined by multi-dimensional feature vector matching, which uses not only intensity values but also multiple feature values, such as variance, first and second derivative of pixels. Multi-dimensional feature vector matching has the advantage of compensating the drawbacks of area-based stereo matching using one feature value, such as intensity. We define matching cost of a pixel by the minimum value among eight multi-dimensional feature vector distances of the pixels expanded in eight directions having the interval of 45 degrees. As best stereo matches, we determine the two points with the minimum matching cost within the disparity range. In the experiment we used aerial imagery and IKONOS satellite imagery and obtained more accurate matching results than that of conventional matching method.

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References

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