We propose a simple and efficient method to interpolate landmark matching by a non-ambiguous mapping (a diffeomorphism). This method is based on spline interpolation, and on recent techniques developed for the estimation of flows of diffeomorphisms. Experimental results show interpolations of remarkable quality. Moreover, the method provides a Riemannian distance on sets of landmarks (with fixed cardinality), which can be defined intrinsically, without refering to diffeomorphisms. The numerical implementation is simple and efficient, based on an energy minimization by gradient descent. This opens important perspectives for shape analysis, applications in medical imaging, or computer graphics.
CITATION STYLE
Camion, V., & Younes, L. (2001). Geodesic interpolating splines. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2134, pp. 523–527). Springer Verlag. https://doi.org/10.1007/3-540-44745-8_34
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