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https://issues.apache.org/jira/browse/SPARK-8491?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Feynman Liang updated SPARK-8491:
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Priority: Minor (was: Major)
> DAISY Feature Transformer
> -------------------------
>
> Key: SPARK-8491
> URL: https://issues.apache.org/jira/browse/SPARK-8491
> Project: Spark
> Issue Type: Sub-task
> Components: ML
> Reporter: Feynman Liang
> Priority: Minor
>
> DAISY (Tola et al, PAMI 2010,
> http://infoscience.epfl.ch/record/138785/files/tola_daisy_pami_1.pdf) 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
> org.apache.spark.ml.Transformer. 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
> http://cvlab.epfl.ch/software/daisy.
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