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. Author manuscript; available in PMC: 2020 Jun 10.
Published in final edited form as: Proc IEEE Comput Soc Conf Comput Vis Pattern Recognit. 2020 Jan 9;2019:4219–4228. doi: 10.1109/cvpr.2019.00435

Figure 1.

Figure 1.

Our framework consists of affine (left) and vSVF (right) registration components. The affine part outputs the affine map and the affinely warped source image. The affine map initializes the map of the vSVF registration. The affinely warped image and the target image are input into the momentum generation network to predict the momentum of the vSVF registration model. The outputs of the vSVF component are the composed transformation map and the warped source image, which can be either taken as the final registration result or fed back (indicated by the dashed line) into the vSVF component to refine the registration solution.