エッジ輪郭マッチングによる高精度テクスチャマーカーの認識とその性能検証

抄録

In recent AR applications, not a barcode-type marker but also the texture marker is used for. In this paper, we proposed a new matching algorithm for texture marker recognition. Conventionally, the keypoints based matching algorithm such as SIFT is used for the texture marker recognition. However, it causes the position errors because the accuracy of position is affected from illumination change and noise. In order to solve the problem, we propose two-stages matching algorithm. First, the conventional keypoints based matching is used for initial guess of camera pose. Secondly, the edge based matching is applied. The search of edge correspondences is performed in a local search area iteratively. Furthermore, in order to evaluate the estimated pose, we proposed to compare the estimated pose and the reference obtained from the mechanical 3D probe sensor. Experimental results show that the proposed method can improve the accuracy of camera pose and the computational time is reasonable.