Abstract
In this paper, we first detail the geodesic matching of images which consists in minimizing an energy resulting from a Riemannian metric on a manifold of images, which itself comes from the projection of a Riemannian metric on a deformation group onto the image manifold. We will then present an energy minimization technique based on a wavelet analysis of the deformation and finally some applications with face images and 3D medical data.
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Garcin, L., Younes, L. (2005). Geodesic Image Matching: A Wavelet Based Energy Minimization Scheme. In: Rangarajan, A., Vemuri, B., Yuille, A.L. (eds) Energy Minimization Methods in Computer Vision and Pattern Recognition. EMMCVPR 2005. Lecture Notes in Computer Science, vol 3757. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11585978_23
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DOI: https://doi.org/10.1007/11585978_23
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-30287-2
Online ISBN: 978-3-540-32098-2
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