Abstract
Once we have extracted features from images, the next stage in many vision algorithms is to match these features across different images (Section 7.1.3). An important component of this matching is to verify whether the set of matching features is geometrically consistent, e.g., whether the feature displacements can be described by a simple 2D or 3D geometric transformation. The computed motions can then be used in other applications such as image stitching (Section 8.2) or augmented reality.
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Szeliski, R. (2022). Image Alignment and Stitching. In: Computer Vision. Texts in Computer Science. Springer, Cham. https://doi.org/10.1007/978-3-030-34372-9_8
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DOI: https://doi.org/10.1007/978-3-030-34372-9_8
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