Study on object matching method based on Hausdorff distance

A new matching measure based on the distance transform weighted by the object contour's characteristic is proposed to enhance the matching contribution of the local feature. In this paper, the characteristic of the contour is expressed with corner membership, and the distance transform is weighted by the difference of the corner membership between the object contour and model, and a more robust matching measure is obtained. The real forward looking infrared (FLIR) images matching experiment shown that the proposed matching measure increase the class-between distance between the object and non-object remarkably, and improve the matching probability and performance.

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