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Posted to issues@spark.apache.org by "Feynman Liang (JIRA)" <ji...@apache.org> on 2015/06/19 23:10:01 UTC
[jira] [Created] (SPARK-8491) DAISY Feature Transformer
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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