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Bootstrap Optical Flow Confidence and Uncertainty Measure
We address the problem of estimating the uncertainty of optical flow algorithm results. Our method estimates the error magnitude at all points in the image. It can be used as a confidence measure. It is based on bootstrap ...
Bootstrap Resampling for Image Registration Uncertainty Estimation Without Ground Truth
We address the problem of estimating the uncertainty of pixel based image registration algorithms, given just the two images to be registered, for cases when no ground truth data is available. Our novel method uses bootstrap ...
Fast no ground truth image registration accuracy evaluation: Comparison of bootstrap and Hessian approaches
Image registration algorithms provide a displacement field between two images. We consider the problem of estimating accuracy of the calculated displacement field from the input images only and without assuming any specific ...