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- W1571320960 abstract "The traditional Hough transform needs the edge detection in advance, so the effect of edge detection influences the final fitting result. This paper proposes a new method of detecting parabolas using the kernel density estimate based on the theory of Rozenn Dahyot, and extends this method into the eyelid detection in noisy images and other images including parabolas. In our paper, the edge detection is not necessary. On one hand, we not only consider the current points on the parabola, but also ones around the parabola. Experiments demonstrate that the proposed algorithm is robust and insensitive to the noise." @default.
- W1571320960 created "2016-06-24" @default.
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- W1571320960 date "2009-01-01" @default.
- W1571320960 modified "2023-10-17" @default.
- W1571320960 title "A Parabolic Detection Algorithm Based on Kernel Density Estimation" @default.
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- W1571320960 doi "https://doi.org/10.1007/978-3-642-04070-2_46" @default.
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