Toward Accurate Motion Estimation with Affine Correspondences
Motion estimation using visual data is an essential aspect of today's self-driving cars, autonomous drones, robotics, and many other similar applications. Most proposed algorithms use either feature-based methods, which look at special features in images; or, direct methods, which look at the whole image pixels. Feature-based algorithms are mostly used with traditional descriptors, such as SIFT, SURF, Hessian, or Harris, to extract point-wise features and then match those features across the image frames in the camera's video input. Recently, local affine features (LAFs) have become a hot topic ...
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AlYousefi, Khaled S.
Boult, Terrance E.; Ventura, Jonathan