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. © 2010 IEEE.
CITATION STYLE
Hu, R., Barnard, M., & Collomosse, J. (2010). Gradient field descriptor for sketch based retrieval and localization. In Proceedings - International Conference on Image Processing, ICIP (pp. 1025–1028). https://doi.org/10.1109/ICIP.2010.5649331
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