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Multi-source remote sensing image registration has important significance, this paper outlines the basic process and common methods of the remote sensing images registration, and the basic principles of SIFT matching algorithm.Then we put forward the SIFT image matching algorithm based on window segmentation and achieve good effect.
Line matching is useful in many computer vision tasks such as object recognition, image registration, and 3D reconstruction. The literature on line matching has advanced in recent years, nevertheless, compared to other features (such as point and region matching approaches) it has made little progress. Especially, very few algorithms address the problem of image scaling. In this paper, we present...
In this paper, the matching of SIFT-like features [5] between images is studied. The goal is to decide which matches between descriptors of two datasets should be selected. This matching procedure is often a preliminary step towards some computer vision applications, such as object detection and image registration for instance. The distances between the query descriptors and the database candidates...
This paper presents an improved relaxation algorithm for image matching. The original relaxation algorithm includes two steps: rough matching and accurate matching. It usually is time-consuming for most practical problems. With the improved relaxation algorithm proposed in this paper, the number of matching points that take part in the next pass iteration can be reduced, consequently, the algorithm...
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