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Posted to issues@spark.apache.org by "Feynman Liang (JIRA)" <ji...@apache.org> on 2015/06/20 03:32:01 UTC

[jira] [Updated] (SPARK-8490) SURF Feature Transformer

     [ https://issues.apache.org/jira/browse/SPARK-8490?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Feynman Liang updated SPARK-8490:
---------------------------------
    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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