Feynman Liang created SPARK-8488: ------------------------------------ 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. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org