Feynman Liang created SPARK-8491:
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Summary: 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
DAISY 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.
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