Abstract
This paper1 addresses some problems in the interpretation of visually observed shapes, both planar and three-dimensional, in motion. Mumford (1996), interpreting the Pattern Theory developed over a number of years by Grenander (1976), views images as pure patterns that have been distorted by a combination of four kinds of degradations. This view applies naturally to the analysis of static, two-dimensional images. The four degradations are given here, together with comments on how they need to be extended to take account of three-dimensional objects in motion.
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© 2001 Springer Science+Business Media New York
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Blake, A., Isard, M., MacCormick, J. (2001). Statistical Models of Visual Shape and Motion. In: Doucet, A., de Freitas, N., Gordon, N. (eds) Sequential Monte Carlo Methods in Practice. Statistics for Engineering and Information Science. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-3437-9_16
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DOI: https://doi.org/10.1007/978-1-4757-3437-9_16
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4419-2887-0
Online ISBN: 978-1-4757-3437-9
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