This paper presents a novel method for automatic image registration. It represents image as triangular mesh and use triangle as feature primitive. First, it detects corner features and triangulates them into triangular mesh. Then, orrespondences of triangles from different images are established by evaluating the similarity of the triangular regions. Affine rectification is applied to establish pixel correspondences. Based on the triangle correspondences, the image transformation is estimated using RANSAC estimator. The proposed method is applied to various image pairs related by projective transformation, experimental results show that the method works successfully even under the case that there are large rotation or severe perspective deformation effect between the images.
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