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Right Top view (2D) of the DoG filter.
The DoG filter has a low computation complexity and is able to alleviate the illumination variation and aliasing.
The dancing hot dog first emerged earlier this year when Snapchat rolled out an augmented reality dancing hot dog filter.
So, to generate a multiple-scale DoG representation for the pattern we apply DoG filter at different scales to the pattern.
In [18], a distortion invariant vehicle license plate and recognition algorithm were proposed based on a Difference of Gaussians (DoG) filter.
The reason is that in the multiple-scale DoG processing, which simulates visual blurring at early stages of visual processing, the outputs get very similar when the size of DoG filter reaches to the overall size of the dots.
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It starts out as a pretty standard third-tier-friend-of-Kylie Jenner Snapchat, featuring dog filters, inflatable pool swans, and hunks.
(a) The original image, (b) Sobel operator, (c) DoG filters ( σ = 2 ), and (d) 2D Gabor magnitude.
The DoG filtering techniques are generally used for identifying the edges in CV applications, and by additional multiple-scale DoG filtering, an edge map representation for the pattern is extracted.
We have defined the scales of the DoG filters empirically, by considering the size of elements inside each pattern.
As described in [6], the DoG filtering baseline method is able to capture the less variational nature of the cut eye regions well.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com