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.

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

Aslan S.
;
2016-01-01

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.
2016
2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10278/3734797
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