[jira] [Created] (SPARK-8488) HOG Feature Transformer

["Feynman Liang (JIRA)" <ji...@apache.org>]

Feynman Liang created SPARK-8488:
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             Summary: HOG Feature Transformer
                 Key: SPARK-8488
                 URL: https://issues.apache.org/jira/browse/SPARK-8488
             Project: Spark
          Issue Type: Sub-task
          Components: ML
            Reporter: Feynman Liang


Histogram of oriented gradients (HOG) is method utilizing local orientation (gradients and edges) to transform images into dense image descriptors (Dalal & Triggs, CVPR 2005, http://lear.inrialpes.fr/people/triggs/pubs/Dalal-cvpr05.pdf).

HOG in Spark ML pipelines can be implemented as a org.apache.spark.ml.Transformer. Given an image Array[Array[Numeric]], the SIFT transformer should output an ArrayArray[[Numeric]] of the HOG features for the provided image.

HOG and SIFT are similar in that the both represent images using local orientation histograms. In contrast to SIFT, however, HOG uses overlapping spatial blocks and is computed densely across all pixels.



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