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https://issues.apache.org/jira/browse/SPARK-8490?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Feynman Liang updated SPARK-8490:
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Priority: Minor (was: Major)
> SURF Feature Transformer
> ------------------------
>
> Key: SPARK-8490
> URL: https://issues.apache.org/jira/browse/SPARK-8490
> Project: Spark
> Issue Type: Sub-task
> Components: ML
> Reporter: Feynman Liang
> Priority: Minor
>
> Speeded up robust features (SURF) (Bay et al, ECCV 2006,
> http://www.vision.ee.ethz.ch/~surf/eccv06.pdf) is an image descriptor
> transform very similar to SIFT (SPARK-8486) but can be computed more
> efficiently. One key difference is using box filters (Difference of Boxes) to
> approximate the Laplacian of the Gaussian.
> We can implement SURF 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 SURF features
> for the provided image.
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