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From "Nick Pentreath (JIRA)" <>
Subject [jira] [Closed] (SPARK-8491) DAISY Feature Transformer
Date Mon, 14 Mar 2016 10:15:33 GMT


Nick Pentreath closed SPARK-8491.
    Resolution: Won't Fix

> DAISY Feature Transformer
> -------------------------
>                 Key: SPARK-8491
>                 URL:
>             Project: Spark
>          Issue Type: Sub-task
>          Components: ML
>            Reporter: Feynman Liang
>            Priority: Minor
> DAISY (Tola et al, PAMI 2010,
is another local image descriptor utilizing histograms of local orientation similar to SIFT.
However, one key difference is that the weighted sum of gradient norms used in SIFT's orientation
assignment is replaced by convolution with Gaussian kernels. This provides a significant speedup
in computing dense descriptors.
> We can implement DAISY in Spark ML pipelines as a Given
an image Array[Array[Numeric]], the SIFT transformer should output an ArrayArray[[Numeric]]
of the DAISY features for the provided image.
> The convolution operation can leverage GPU parallelism for efficiency.
> A C++/MATLAB reference implementation is available at

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