Abstract
Image transport is at the heart of large deformation registration algorithms and level set methods. Here we propose to extend this concept to solve alignment and correspondence problems for images defined on general geometries. Our approach builds upon the framework proposed by Bertalmio et al. [1] for solving PDEs on implicit surfaces. The registration process is defined by a system of transport equations and is driven by the gradient of a similarity functional. The transformation is regularized using a nonlinear heat equation. Compared to recent developments for image registration on manifolds [4], the implicit representation of the image domain allows us to deal easily with arbitrary surfaces. We illustrate the potential of this technique with several synthetic experiments.
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Chefd’hotel, C. (2007). A Method for the Transport and Registration of Images on Implicit Surfaces. In: Sgallari, F., Murli, A., Paragios, N. (eds) Scale Space and Variational Methods in Computer Vision. SSVM 2007. Lecture Notes in Computer Science, vol 4485. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72823-8_74
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DOI: https://doi.org/10.1007/978-3-540-72823-8_74
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