Gradient field descriptor for sketch based retrieval and localization

  • Hu R
  • Barnard M
  • Collomosse J
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Abstract

We present an image retrieval system driven by free-hand sketched queries depicting shape. We introduce Gradient Field HoG (GF-HOG) as a depiction invariant image descriptor, encapsulating local spatial structure in the sketch and facilitating efficient codebook based retrieval. We show improved retrieval accuracy over 3 leading descriptors (Self Similarity, SIFT, HoG) across two datasets (Flickr160, ETHZ extended objects), and explain how GF-HOG can be combined with RANSAC to localize sketched objects within relevant images. We also demonstrate a prototype sketch driven photo montage application based on our system.

Author-supplied keywords

  • Bag-of-visual-words
  • HoG
  • RANSAC
  • Sketch based Image retrieval

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Authors

  • Rui Hu

  • Mark Barnard

  • John Collomosse

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