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This paper presents an algorithm based on the method of supervised machine learning and multi-keyframes to achieve markerless augmented reality (AR) application when there is a locally planar object in the scene. The main goal is to solve the problem of AR tracking in outdoor environment by only using vision and natural features. Instead of tracking fiducial markers, we track natural keypoints, during...
Image mosaic is important in the filed of computer vision. In this paper, SUSAN corner detector is used to extract feature point, and the phase correlation technique is used to roughly estimate translational parameters of two images. The wrongly matched points are deleted with RANSAC algorithm after the initial matching. At the same time, fundamental matrix and homography matrix are estimated robustly...
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