We designed SymPaD framework, a model-driven visual dictionary construction and description method, with new shape models and quantized shape library. We demonstrate that, with this new design, the most current model-driven dictionary construction method is outperformed with even smaller dictionary in object recognition and image retrieval tasks.
A novel study on developing a model-driven visual dictionary / S. Aslan, C.B. Akgul, B. Sankur, E.T. Tunali - In: 2016 24th Signal Processing and Communication Application Conference (SIU)[s.l] : IEEE, 2016. - ISBN 978-1-5090-1679-2. - pp. 2081-2084 (( Intervento presentato al 24. convegno Signal Processing and Communication Application Conference tenutosi a Zonguldak nel 2016 [10.1109/SIU.2016.7496181].
A novel study on developing a model-driven visual dictionary
S. Aslan;
2016
Abstract
We designed SymPaD framework, a model-driven visual dictionary construction and description method, with new shape models and quantized shape library. We demonstrate that, with this new design, the most current model-driven dictionary construction method is outperformed with even smaller dictionary in object recognition and image retrieval tasks.
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