Abstract
This paper considers the fitting of ellipses to edge-based pixel data in digital images. It infers the ellipses as projected circles, viewed obliquely, and uses this information to constrain the position, viewpoint and scale of model objects projected onto the image. A central theme of the work is the explicit use of uncertainty, which reflects observation errors in the image data, and which is propagated through the model matching stages, providing a consistent and robust representation of errors.
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© 1991 Springer-Verlag London Limited
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Ellis, T., Abbood, A., Brillault, B. (1991). Ellipse Detection and Matching with Uncertainty. In: Mowforth, P. (eds) BMVC91. Springer, London. https://doi.org/10.1007/978-1-4471-1921-0_18
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DOI: https://doi.org/10.1007/978-1-4471-1921-0_18
Publisher Name: Springer, London
Print ISBN: 978-3-540-19715-7
Online ISBN: 978-1-4471-1921-0
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