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http://dx.doi.org/10.5302/J.ICROS.2007.13.1.052

Stereo Matching Method using Directional Feature Vector  

Moon, Chang-Gi (극동대학교 컴퓨터정보표준학부)
Jeon, Jong-Hyun (극동대학교 컴퓨터정보표준학부)
Ye, Chul-Soo (극동대학교 컴퓨터정보표준학부)
Publication Information
Journal of Institute of Control, Robotics and Systems / v.13, no.1, 2007 , pp. 52-57 More about this Journal
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.
Keywords
multi-dimensional feature vector; stereo matching; IKONOS satellite imagery;
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