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In the context of ear biometrics, Hurley et al. [1–3] have developed a pair of invertible linear transforms called the force field transform and potential energy transformwhich transforms an image into a force field by pretending that pixels have a mutual attraction proportional to their intensities and inversely to the square of the distance between them rather like Newton’s law of universal gravitation. Underlying this force field, there is an associated potential energy field which in the case of an ear takes the form of a smooth surface with a number of peaks joined by ridges. The peaks correspond to potential energy wells, and to extend the analogy, the ridges correspond to potential energy channels. Since the transform also happens to be invertible, all of the original information is preserved, and since the otherwise smooth surface is modulated by these peaks and ridges, it is argued that much of the information is...
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References
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J. Hurley, D., Nixon, M. (2014). Ear Recognition, Physical Analogies. In: Li, S., Jain, A. (eds) Encyclopedia of Biometrics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27733-7_172-3
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DOI: https://doi.org/10.1007/978-3-642-27733-7_172-3
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