Abstract
A rapidly increasing number of publications, workshops and conferences which are devoted to scale-space ideas confirms the impression that the scale-space paradigm belongs to the challenging new topics in computer vision.
Real World Computing Partnership
Dutch Foundation for Neural Networks
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© 1997 Springer Science+Business Media Dordrecht
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Weickert, J., Ishikawa, S., Imiya, A. (1997). On the History of Gaussian Scale-Space Axiomatics. In: Sporring, J., Nielsen, M., Florack, L., Johansen, P. (eds) Gaussian Scale-Space Theory. Computational Imaging and Vision, vol 8. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-8802-7_4
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DOI: https://doi.org/10.1007/978-94-015-8802-7_4
Publisher Name: Springer, Dordrecht
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