Abstract
The purpose of non-rigid motion in computer vision is the study of the geometrical deformation that may affect an object during its temporal evolution. One often assumes that this process is local and continuous; it is therefore the case for local geometrical features, which are considered as relevant for studying deformation. This assumption is no more valid when the structure is widely distorted between two successive temporal occurrences, and information about the underlying physical phenomenon is then required to analyze motion. In this paper, we propose a geometrical model of evolution that may be viewed as an approximation of the true physical deformation: we are reconstructing the surface generated by the evolution of the boundary of the structure. We present a stable numerical implementation of this model and apply it to the tracking of a vortex on a sequence of meteorological images.
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© 1996 Springer-Verlag London Limited
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Berroir, JP., Herlin, I., Cohen, I. (1996). A numerical model for large deformation on meteorological images. In: Berger, MO., Deriche, R., Herlin, I., Jaffré, J., Morel, JM. (eds) ICAOS '96. Lecture Notes in Control and Information Sciences, vol 219. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-76076-8_121
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DOI: https://doi.org/10.1007/3-540-76076-8_121
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Online ISBN: 978-3-540-40945-8
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